Yudhistira Tirtayasri Amrillaha,
Kaijian Zhu
b,
Fani Rahayu Hidayah Rayanisaputri
a,
Fita Widiyatuna,
Vivi Fauzia
a,
Munawar Khalil
cde,
Fatwa F. Abdi
*bc and
Ferry Anggoro Ardy Nugroho
*ad
aDepartment of Physics, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Depok 16424, Indonesia. E-mail: f.a.a.nugroho@sci.ui.ac.id
bSchool of Energy and Environment, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon, Hong Kong S.A.R., China. E-mail: ffabdi@cityu.edu.hk
cDepartment of Chemistry, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Depok 16424, Indonesia
dInstitute for Advanced Sustainable Materials Research and Technology (INA-SMART), Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Depok 16424, Indonesia
eAdvanced Materials and Molecular Synthesis Laboratory, Department of Chemistry, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Depok 16424, Indonesia
First published on 13th August 2025
Biomass and CO2 valorization constitutes a sustainable solution to mitigate global waste accumulation by converting biomass and CO2 into valuable chemicals and fuels. Among various conversion strategies, photoelectrochemical (PEC) systems have emerged as a promising approach due to their ability to drive redox reactions under mild conditions using solar energy. However, challenges such as poor selectivity, charge recombination, and inefficient light harvesting hinder the widespread adoption of PEC biomass and CO2 valorization. In efforts to push the concept into the practical realm, modifying the surface of the corresponding photoanodes has emerged as the most viable and effective approach. Acknowledging its importance, in this review, we thoroughly discuss various surface engineering strategies for enhancing and tuning PEC biomass and CO2 valorization selectivity. We open the discussion by introducing the fundamental principles of PEC processes, system configurations, and the critical role of surface properties in governing reaction pathways. Building on the previous discussions, common surface engineering strategies, particularly surface functionalization, crystal face tuning, defect engineering, and nanostructuring, are systematically reviewed for their ability to tailor surface properties and modulate the electronic structures of photoelectrodes. Crucially, we provide insights into the interplay between photoelectrode design and reaction dynamics responsible for the improvement and tunability of PEC biomass and CO2 valorization selectivity. By providing a comprehensive overview of recent advancements, this review aims to serve as a valuable resource for guiding future developments in PEC biomass and CO2 valorization.
Scientific and technological advances have demonstrated that biomass can be efficiently transformed into valuable chemicals such as phenol and catechol, both of which have widespread use in various industries (e.g., automotive, aerospace, building materials, electronics, consumer goods applications, fragrances and pharmaceuticals).14–17 However, conventional biomass valorization processes utilize a thermochemical approach that generally requires high temperatures, high pressures, and harsh reaction conditions, which severely limit reaction selectivity and overall process efficiency.18,19 In response to these limitations, photoelectrochemical (PEC) systems have emerged as a promising alternative.20 By harnessing solar energy to drive redox reactions under mild conditions, PEC technologies significantly reduce energy input and environmental impact while enabling the simultaneous production of value-added chemicals and fuels.21,22 Despite these advantages, PEC conversion faces significant challenges. In particular, rapid recombination of photogenerated charge carriers, inefficient light harvesting, and nonselective substrate activation can lead to the formation of mixed products rather than a single, desired target compound. For example, in PEC glycerol oxidation, which has attracted significant interest in recent years, glycerol waste, a byproduct from, e.g., diesel production, can be converted into products such as dihydroxyacetone (DHA), formic acid (FA), glyceraldehyde (GLAD), glycolaldehyde (GCAD), and glycolic acid (GA), each with varying commercial values.23–26 Among these, DHA is particularly attractive due to its high market value and demand in the cosmetics, pharmaceutical, fine chemicals, and food industries.27,28 Yet, many high-efficiency methods tend to favor C–C bond cleavage, predominantly yielding lower-value compounds like FA rather than DHA. Similarly, PEC processes applied to 5-hydroxymethylfurfural (HMF) oxidation,29 glucose oxidation,30 methane conversion31 and CO2 reduction32 encounter challenges in achieving selective multi-carbon product formation—a necessity for generating high-energy-density fuels—due to difficulties in managing multi-electron transfer, suppressing charge recombination, and ensuring efficient charge transport.
As the field of PEC biomass and CO2 valorization continues to grow rapidly (Fig. 1), surface engineering has emerged as a critical strategy to overcome challenges related to reaction selectivity, efficiency, and stability. This focus is understandable since surfaces are the literal sites where the reactions occur; it is thus logical to first modify them to generate certain chemical products selectively. Furthermore, surface engineering encompasses virtually unlimited strategies, for which minute details on the surface modification may give rise to contrasting effects. Specifically, by tailoring the catalyst surface at the nanometer and atomic scales, researchers have successfully modified the interfacial electronic structure, enhanced light absorption, and controlled the adsorption and activation of biomass-derived intermediates.33,34 Furthermore, surface functionalization approaches, such as incorporating nanoparticles,35,36 quantum dots,37,38 single-atom metals,39 layered double hydroxides and hydroxides,40 and molecular cocatalysts,41–43 not only enhance light harvesting efficiency and promote charge transport but also introduce more active reaction centers.44,45 In addition, crystal facet tuning46 and defect engineering47,48 enable precise adjustment of active sites to selectively promote specific reaction pathways.
While several reviews have addressed PEC biomass23,49 or CO2 (ref. 50–52) valorization individually, a comprehensive focus on surface engineering strategies that directly influence selectivity remains lacking. This review aims to fill this gap by systematically highlighting how specific surface engineering approaches, including surface functionalization, crystal facet tuning, defect engineering, and nanostructuring, can tailor surface properties. Furthermore, we aim to emphasize the interplay between photoelectrode surface design and reaction dynamics, providing mechanistic insights into how such modifications steer selective biomass and CO2 valorization. By integrating recent findings across both biomass and CO2 valorization systems and offering a cross-cutting perspective on selectivity control through surface engineering, this review offers a timely and unique contribution that can guide future advancements in the rational design of PEC systems for sustainable chemical production. Doing so, we begin by introducing the prospects of PEC biomass and CO2 valorization and its potential to significantly mitigate environmental and economic challenges. The principle of PEC valorization is then introduced along with typical PEC systems. Next, we discuss the importance of surface properties in PEC systems and their limitations, underscoring the necessity for surface engineering, followed by a detailed discussion on the principles, mechanisms, and the critical role of surface properties in PEC biomass valorization. Building upon this, state-of-the-art surface engineering strategies, including surface functionalization, crystal facet tuning, defect engineering, and nanostructuring approaches, that have been employed to improve and tune the selectivity of PEC biomass valorization are discussed. By highlighting how the interplay between catalyst design, defect engineering, and interfacial charge transfer is essential for overcoming kinetic and thermodynamic barriers, this review provides insights into future research directions that could drive the development of cutting-edge PEC technologies for sustainable biomass valorization.
When a semiconductor is immersed in an electrolyte, charge transfer occurs due to the potential difference between the semiconductor's Fermi level (EF) and the electrolyte's redox potential (Eredox). Upon equilibration, EF aligns with Eredox, leading to band bending and the formation of a space charge layer (Fig. 2a). Taking an n-type semiconductor used for oxidation reactions as an example, the downward shift of EF induces upward band bending, which results in hole accumulation within the space charge layer. On the electrolyte side, an electrical double layer, consisting of the Stern layer and the Gouy-Chapman diffuse layer, forms at the interface. The Stern layer, located closest to the semiconductor, contains adsorbed ions and solvated molecules and is further divided into the inner Helmholtz plane (IHP) and the outer Helmholtz plane (OHP). The IHP corresponds to the position of the electrical centers of adsorbed ions at a distance x1, while the OHP represents the position of solvated molecules or ions, which can only approach the semiconductor up to a distance x2 (see Fig. 2b).58 In this regard, changes in electrolyte composition, such as variations in cations and anions, can significantly influence the distribution of adsorbed ions in the IHP and solvated species in the OHP, thereby affecting both reaction activity and selectivity. Several studies have reported the effects of different cations and anions on, e.g., glycerol oxidation.59,60 Beyond ion type, potential drops across the Stern layer and Gouy–Chapman diffuse layer must also be considered in biomass valorization. The concentration of biomass feedstock plays a crucial role in influencing ionic conductivity, electrolyte viscosity, and electrode surface coverage—all of which impact conversion efficiency and selectivity. For example, studies have shown that variations in glucose concentration distinctly affect mass transport and electron transfer kinetics.61 In the case of glycerol oxidation, the peak current was found to increase as glycerol concentration rose from 0.5 to 1.0 M but decreased at concentrations above 1.0 M, a decline attributed to insufficient OH− coverage on the electrode surface.62 Another study investigated how varying glycerol concentrations influenced selectivity, finding that higher concentrations favored the production of C3 products.63
To broaden the solar spectrum absorption and mitigate the constraints of a single semiconductor, PEC systems can incorporate two photoactive materials, one as the photoanode and the other as the photocathode, classified as D2 or D4 configurations. In the D2 configuration, the two photoelectrodes are illuminated side by side, whereas the D4 configuration employs a tandem structure, where the two electrodes are optically stacked to achieve complementary light absorption. Due to the increased illuminated area, the theoretical solar conversion efficiency of the D2 configuration is lower than that of the D4 configuration. In the D4 setup, the VB position of the photoanode must be more positive than the oxidation potential, while the CB position of the photocathode must be more negative than the reduction potential. The complementary absorption of light by both electrodes allows transmitted light with lower energy to be captured by the second photoelectrode, improving light utilization. This approach enables an ideal theoretical solar conversion efficiency of up to 27%, even when accounting for energy losses (0.8 eV per absorbed photon).64
In PEC biomass valorization, surface engineering enhances conversion efficiency and selectivity through several key factors. One critical factor is surface area and morphology. Nanostructured surfaces, such as nanoporous or nanoarray architectures, generally outperform thin-film electrodes due to their increased active sites for biomass adsorption and subsequent reaction. Furthermore, nanostructuring is an effective strategy to shorten the transport length for photoexcited charges, reducing bulk recombination losses.71,72 Another key aspect involves surface defects and functionalization. The electronic state at the surface differs from that of the bulk due to abrupt termination at the interface. Surface defects and adsorbed functional species can significantly influence catalytic behavior by tuning the adsorption energy of reactants and products, a crucial parameter in catalysis according to the Sabatier principle.73–75 Moreover, surface functionalization can modulate charge transfer kinetics and recombination rates, directly affecting the overall reaction efficiency.76,77
The exposed facets on a material surface further dictate its catalytic performance. During crystal formation, facets with higher surface energies tend to grow rapidly and eventually diminish, while lower-energy facets remain stable.78 Uncontrolled growth thus often yields less reactive surfaces. Since different facets exhibit distinct atomic arrangements and electronic structures, they can enable unique reaction pathways in biomass conversion.79 For instance, some facets preferentially accumulate holes, while others favor electron accumulation,80,81 allowing selective tuning of the reaction environment. The combination of these specific facets can create built-in electric fields, enhancing charge separation.82,83
Finally, the local surface environment also plays a significant role. Properties such as hydrophilicity, hydrophobicity, and surface polarity impact the solubility, diffusion, and adsorption of biomass feedstocks. Tailoring surface wettability can improve interfacial interactions between the electrode, electrolyte, and biomass molecules, enhancing reaction efficiency.59,84 Furthermore, the polarizability of the surface has been reported to affect surface energy,85 band bending,86 and excited-state deactivation pathways,87 all of which influence PEC reaction dynamics. In some cases, local confinement effects can restrict the adsorption modes of biomass molecules, further refining reaction selectivity.
Another target in biomass valorization is the oxidation of 5-hydroxymethylfurfural (HMF) to 2,5-furandicarboxylic acid (FDCA). HMF, derived from cellulose and hemicellulose, is a key platform molecule in biorefineries.91,92 Its PEC oxidation to FDCA, a valuable monomer for bioplastics like polyethylene furanoate (PEF), has attracted growing attention.93 This reaction proceeds via sequential oxidation of the aldehyde and alcohol functional groups in HMF, forming intermediates such as 5-hydroxymethyl-2-furancarboxylic acid (HMFCA) and 5-formyl-2-furancarboxylic acid (FFCA). Achieving high selectivity to FDCA under PEC conditions requires careful control of active sites, surface potential, and light-assisted oxidation kinetics.94 Integration of co-catalysts and tuning of semiconductor surfaces are emerging strategies to promote FDCA formation while suppressing side reactions. In a similar context, aromatic alcohols such as benzyl alcohol can be selectively oxidized to benzaldehyde or further to benzoic acid under PEC conditions.95,96 These reactions represent valuable model systems for studying PEC oxidation mechanisms due to their relatively well-defined electron-transfer steps and stable intermediates. Oxidation of benzyl alcohol proceeds first to benzaldehyde, which can undergo further PEC oxidation to benzoic acid depending on the applied bias and reaction time. In addition, CO2 valorization has emerged as a parallel strategy for utilizing solar energy in a sustainable manner.97 The PEC reduction of CO2 to C1–C3 products such as CO, formic acid, methanol, ethanol, and acetic acid not only mitigates greenhouse gas emissions but also provides renewable chemical feedstocks. Surface engineering, including the incorporation of metal single atoms, plasmonic nanoparticles, or molecular catalysts, can steer reaction pathways, in particular towards multi-carbon products, improve CO2 adsorption, and enhance charge separation.32
Table 1 summarizes all the reactions above, which are the target reactions covered in this review. The table includes the reactants, products, reaction pathways, and, most importantly, their corresponding product utilizations.
Feedstock | Product(s) | Reaction pathway(s) | Product utilization |
---|---|---|---|
Glycerol | Dihydroxyacetone | Oxidation98 | Cosmetics, pharmaceuticals, fine chemicals, food28,65,99 |
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Formic acid | Oxidation100 | Pharmaceuticals, agriculture, fuel technology, de-icing agents101–103 | |
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Glyceraldehyde | Oxidation100 | Pharmaceuticals, food, cosmetics, fuel production104,105 | |
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Lactic acid | Oxidation106 | Pharmaceuticals, plastics, industrial cleaning, animal feed additives, food, personal care107–111 | |
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Glucose | Glucaric acid | Oxidation88 | |
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Pharmaceuticals, corrosion inhibitors, de-icing agents, food additives, detergents, textile industry, personal care112–114 | ||
Benzyl alcohol | Benzoic acid | Oxidation95 | |
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Food preservative, chemical industry, pharmaceuticals, industrial products95,96 | ||
Benzaldehyde | Oxidation96 | ||
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Coatings, textiles, food, pharmaceutical intermediates, agrochemicals, cosmetics95,96 | ||
HMF | FDCA | Oxidation115 | |
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Fine chemicals115 | ||
CO2 | CO | Reduction97 | |
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Metallurgical, semiconductors, graphene, chemical feedstock, food processing116–118 | ||
Formic acid | Reduction97 | ||
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Pharmaceuticals, agriculture, batteries, de-icing agents119,120 | ||
Formate | Reduction121 | ||
Acetic acid | ![]() |
Chemical feedstock, pharmaceuticals, textiles, cosmetics97,121,122 | |
Methanol | Reduction97 | ||
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Chemical feedstock, biodiesel production, automotive fuel cells, construction, agriculture, water treatment123–125 | ||
Methane | Reduction97 | ||
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Fuel, automotive, aerospace, electronics126–128 | ||
Ethylene | Reduction97 | ||
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Plastics for packaging, construction, automotive, textiles, agriculture129–131 | ||
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Ethanol | Reduction97 | ||
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Bio-based solvents, pharmaceuticals, food, fuel132,133 | ||
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One strategy to leverage NPs for enhancing PEC biomass valorization selectivity is utilizing them as efficient light harvesters. By channeling additional energy into an already selective photoelectrode, metal NPs facilitate the generation of high-energy charge carriers, promoting improved PEC activity.150 This approach is commonly employed, often using simple deposition techniques such as drop-casting.151,152 For instance, Au3Cu NPs have been shown to enhance the PEC performance of CO2 reduction on Si nanowires, improving the faradaic efficiency (FE) for CO to nearly 80% under illumination.153 Another example involves loading Ag NPs onto TiO2, leading to an increase in the FE of CO2-to-formic acid (FA) conversion from 52% in the absence of illumination to 73% under light exposure (Fig. 4a).154 This increase in FE is analogous to the enhanced current density and light absorption, indicating the effectiveness of the deposited NPs in improving charge transfer and acting as a light harvester. However, optimizing the deposited NP concentration is crucial in this strategy. Varying the Ag NP loading on TiO2 results in distinct absorption bands (Fig. 4b), indicating changes in the system's (apparent) bandgap.155 While increased NP concentration reduces the bandgap and enhances charge transfer capability, excessive deposition can lead to agglomeration, reducing the active surface area and negatively impacting performance (Fig. 4c).156 A similar enhancement under illumination is observed when Ag NPs are deposited onto Cu2O nanowires using vacuum thermal evaporation.157 This method improves CO2 reduction selectivity and increases the overall yields of multi-carbon products (Fig. 4d).
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Fig. 4 NPs in enhancing selectivity through light harvesting and charge transfer enhancement. (a) FE and yield of formate on TiO2–Ag NP photoelectrodes (i) with and (ii) without light illumination. (b) Tauc plot comparing the optical bandgap of bare TiO2 and Ag NP-decorated TiO2. (c) Photocurrent density of TiO2–Ag NP photoelectrodes with varying Ag NP concentrations. The photocurrent density shows an increasing trend up to 20 mM (TiO2–Ag20), beyond which a decline is observed despite a reduced bandgap. Adapted from ref. 154 with permission. Copyright 2022 The Korean Society of Industrial and Engineering Chemistry. (d) FE of products on the CuO2/Ag NP photoelectrode at different applied biases (i) with and (ii) without light illumination. Under illumination, multi-carbon products, acetic acid (CH3COOH, red) and ethylene (C2H4, blue), dominate. A lower potential is required to achieve the increase in selectivity when the reaction is conducted under light illumination. Adapted from ref. 154 with permission. Copyright 2022 The Royal Society of Chemistry. (e) Cyclic voltammetry of Au NPs/p-C3N4 photoelectrodes under dark and illuminated conditions. (f) Photoluminescence spectra of p-C3N4 nanosheets, the Au NPs/p-C3N4 catalyst, and Au NPs. The decrease in light emission around the 460 nm wavelength indicates that the interface electric field of the resulting Au NPs/p-C3N4 heterojunction effectively separates the photogenerated charge carriers. Adapted from ref. 158 with permission. Copyright 2021 Elsevier Inc. (g) Methane production from photocatalytic CO2 reduction in the presence of water on bare and modified TiO2 photoelectrodes. Reproduced from ref. 159 with permission. Copyright 2015 The Royal Society of Chemistry. |
Beyond enhancing light absorption, another strategy for leveraging NPs in PEC systems involves their role in promoting charge separation, by acting as electron reservoirs or sinks. This function is critical in reducing charge recombination losses and ensuring selective transfer of photogenerated carriers to targeted reaction sites. For instance, PEC glycerol oxidation on polymeric C3N4 (p-C3N4) nanosheets exhibits a significant performance enhancement upon incorporating Au NPs.158 In this case, the interaction between Au NPs and p-C3N4 suppresses charge carrier recombination while promoting the accumulation of photogenerated holes on the NPs. These synergistic effects result in a higher current density (Fig. 4e) and a suppressed photoluminescence signal around 460 nm (Fig. 4f). A promising extension to this strategy involves employing multiple types of NPs. For example, TiO2/CdS and Pt NPs have been integrated onto reduced graphene oxide (rGO) to enhance the CO2-to-methane yield.159 Here, TiO2 predominantly absorbs in the UV region, limiting the PEC performance. However, this limitation is mitigated by incorporating CdS, which extends the light absorption into the visible range. Moreover, introduction of Pt NPs further enhances methane production (Fig. 4g), attributed to the synergistic effect of the NPs and rGO in photogeneration, charge separation, and carrier transport. Upon exposure to visible light, electron–hole pairs are generated in both semiconductors. Due to the specific band alignment at the TiO2/CdS interface, photogenerated electrons transfer to the CB of TiO2, while holes remain in the VB of CdS. This spatial separation of charge carriers reduces recombination. Additionally, rGO, a well-known electron-accepting material with excellent conductivity due to its two-dimensional planar structure, facilitates rapid charge transfer. This efficient transport of charge carriers across the graphene sheets further enhances charge separation, ultimately suppressing the electron–hole recombination.
In terms of selectivity control, NPs can be employed to promote specific reaction pathways. The enhanced electromagnetic field near the plasmonic surface lowers activation energy for certain reactions, selectively stabilizing key intermediates or transition states.35,149 Additionally, plasmonic “hot spots” enhance the adsorption of biomass molecules near active sites, improving surface interactions and reaction kinetics.160–162 By selectively strengthening the interaction energy between the plasmonic surface and specific functional groups, these NPs drive targeted reactions with high precision. In this context, the impact of NPs on the selectivity of PEC reactions has been well demonstrated. For instance, in PEC glycerol oxidation, the incorporation of Au NPs on p-C3N4 enhances selectivity toward dihydroxyacetone (DHA).158 In this approach, a chemical reduction method was used to evenly distribute the NPs on the C3N4 photoelectrode. Calculations reveal that the potential energy for middle hydroxyl oxidation is higher than that for the terminal hydroxyl (Fig. 5a), resulting in selective dehydrogenation and oxidation of glycerol to DHA with a selectivity of up to 53.7% (Fig. 5b). Beyond Au NP-modified systems, Bi-based NPs have also shown remarkable potential in tuning PEC glycerol oxidation selectivity, particularly toward DHA.163 A notable example involves the in situ reduction of WO3/BiVO4 using hydrazine hydrate to produce a WO3/BiVO4/Bi NP photoanode, which achieves a DHA selectivity of up to 60.6%, surpassing the 53.3% observed for bare WO3/BiVO4 (Fig. 5c). This process reduces Bi3+ in BiVO4 to metallic Bi0, forming Bi0/Bi3+ active sites (Fig. 5d). The hydrazine reduction is carefully controlled to prevent over-reduction, which could compromise the structural integrity of the composite. The improved selectivity is attributed to the enhanced affinity of the BiVO4/Bi NP surface for the middle hydroxyl of glycerol, with the NPs further promoting adsorption. DFT calculations confirm that glycerol's terminal and middle hydroxyl groups (i.e., primary and secondary –OH, respectively) preferentially adsorb onto Bi0 sites at the Bi0/Bi3+ interface. The rate-limiting step in this process is carbon-centered radical formation via photogenerated hole-driven dehydrogenation. The activation barrier for middle-carbon radical formation is lower than that for terminal radicals, resulting in the mechanism that favors DHA production. A similar trend is observed in Bi2O3 NP-modified TiO2 photoanodes. In this system, Bi is first electrodeposited onto TiO2, followed by electro-oxidation to form a Bi2O3/TiO2 heterojunction (Fig. 5e).164 This structure achieves an impressive glycerol-to-DHA selectivity of 75.4%. The Bi2O3 NPs exhibit low DHA adsorption capability, preventing further oxidation and contributing to high selectivity. Additionally, the Bi2O3/TiO2 heterojunction has enhanced charge transfer and photogenerated hole utilization due to the formation of a p–n junction. The important role of the Bi2O3 NPs in tuning selectivity is evident from the fact that bare TiO2 favors FA formation instead; although FA is another high-value glycerol derivative, its market price is far below that of DHA.
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Fig. 5 NP-assisted selectivity tuning in PEC glycerol oxidation. (a) Potential energy for the oxidation of terminal and middle hydroxyls of glycerol on the Au NPs/p-C3N4 photoelectrode. The adsorption energies of middle and terminal hydroxyls are calculated to be −1.42 eV and −1.27 eV, respectively, which are higher than that of pristine p-C3N4. The theoretical calculations of the oxidation potential energy and adsorption energy are consistent with the heightened selectivity of the Au NPs/p-C3N4 photoelectrode towards DHA. (b) Product selectivity for glycerol oxidation on Au NPs/p-C3N4 at various potentials with and without light illumination. The maximum selectivity of DHA (gray) is achieved at 1.0 VRHE potential under light illumination. Adapted from ref. 158 with permission. Copyright 2021 Elsevier Inc. (c) DHA selectivity and FE on pristine WO3, BiVO4, and modified photoelectrodes. The reaction is conducted under light illumination and 1.2 VRHE applied bias in 0.5 M Na2SO4 with glycerol. Adapted from ref. 163 with permission. Copyright 2023 The Royal Society of Chemistry. (d) Fabrication steps of the WO3/BiVO4/Bi NP photoanode. (e) Energy band diagram of Bi2O3 and TiO2, along with the proposed mechanism for PEC glycerol oxidation in the Bi2O3/TiO2 p–n junction under illumination. Adapted from ref. 164 with permission. Copyright 2022 American Chemical Society. |
Beyond glycerol oxidation, selectivity tuning through the incorporation of NPs has also been demonstrated for PEC CO2 reduction. Similar to glycerol oxidation, NPs can serve as adsorption centers for CO2 molecules, selectively adsorbing key intermediates that directly influence reaction selectivity—particularly toward single-carbon products.165 To tune the reaction selectivity toward CO, the system must be engineered to promote CO2 activation into *COOH and facilitate *CO desorption. In this regard, employing Au NPs166 and AgCu bimetallic NPs167,168 has proven to be highly effective for achieving high selectivity in the CO2 reduction reaction toward CO. For the former, electrodeposited Au NPs exhibit a synergistic effect with TiO2 (Fig. 6a), jointly enhancing CO2 adsorption and promoting the kinetics of CO production by accelerating both the *COOH formation step and the subsequent desorption of *CO from active sites. This results in an improved FE for CO, reaching 86% (Fig. 6b). Alternatively, the use of AgCu NPs offers a unique tunability mechanism based on composition modulation. The AgCu NPs are embedded onto a p-Si film via immersion in an HF solution containing Ag+ and Cu2+ ions (Fig. 6c). The reaction is more selective towards CO when Ag is the dominant component, and the selectivity shifts to methane when Cu is introduced (Fig. 6d(i and ii)). This tunability through the modulation of Ag and Cu ratio in the NPs arises from the electronic and geometrical effects generated by the nanoscale coupling of the two metals. On the one hand, Ag is responsible for the reduction of CO2 to CO and on the other, Cu continues the reduction process to single or multi-carbon. It is also important to highlight that the geometric structure plays a crucial role in tuning the reaction selectivity. In this case, the selectivity towards the single-carbon product, methane, rather than multi-carbon products, is possible due to the presence of intermixed Ag and Cu domains, which preferentially produce methane. Additionally, similar selectivity modulation is observed when NPs are embedded onto p-Si micropillars.
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Fig. 6 NP-enabled selectivity tuning in PEC CO2 reduction toward single-carbon products and other biomass valorization reactions. (a) Fabrication process of the Au NPs/TiO2/n+p-Si photoelectrode. (b) FE for CO at −0.4 VRHE on Au NP-modified p-Si photoelectrodes. Adapted from ref. 166 with permission. Copyright 2022 Wiley-VCH GmbH. (c) Schematic illustration of AgCu NP formation and deposition on a Si wafer via metal-assisted chemical etching. Ag+ and Cu2+ ions are spontaneously reduced upon contact with the Si surface, extracting electrons from the Si valence band and forming Ag0 and Cu0 nuclei. HF solution facilitates Si dissolution, creating a porous structure that supports ion reduction and NP growth. (d) FE of PEC CO2 reduction products on (i) Ag and (ii) AgCu NP-modified Si photoelectrodes. Adapted from ref. 167 with permission. Copyright 2023 American Chemical Society. (e) Performance of Cu NPs on the Co3O4 NT photoelectrode for selective CO2 reduction to formate. Adapted from ref. 169 with permission. Copyright 2015 American Chemical Society. (f) Performance of Cu NPs on the p-NiO film to selectively reduce CO2 to (i) CO and (ii) formate. Adapted from ref. 170 with permission. Copyright 2020 American Chemical Society. |
Formate is another valuable single-carbon product of PEC CO2 reduction. To tune the reaction toward formate, it is essential to stabilize *OCHO and *HCOOH intermediates while reducing the desorption energy of *HCOOH. Cu-based NPs are particularly effective for this purpose.169,170 In this process, chemisorbed CO2 attracts protons from the electrolyte, forming a chemisorbed HCOO radical via a stable *OCHO intermediate. Electron transfer to this radical species leads to formate desorption. Additionally, CO2 radicals at Cu active sites can react with surface-bound H atoms to generate formate. This strategy has been successfully demonstrated through the integration of Cu NPs into Co3O4 nanotube arrays and p-NiO films. In the first case, Cu NPs are electrodeposited onto nanotube arrays, yielding 6.75 mmol L−1 cm−2 of formate over 8 hours of reaction with nearly 100% selectivity (Fig. 6e). In the second case, a 3 nm Cu layer is deposited onto a p-NiO film via electron-beam physical vapor deposition, resulting in a formate FE of at least 20% (Fig. 6f(i and ii)). Notably, bare p-NiO exclusively produces H2 with an FE of 98%, underscoring the crucial role of Cu NPs in selectively tuning the reaction toward formate.
For PEC CO2 reduction to multi-carbon products, the corresponding selectivity largely depends on the specific ability of the metal NPs to facilitate carbon–carbon (C–C) coupling. Notably, Cu is the only known metal thus far capable of catalyzing this crucial step. One example of utilizing Cu NPs for this purpose involves incorporating them into Si nanowires (Fig. 7a(i and ii)) via a drop-casting method.171 This approach enables the selective conversion of CO2 to ethylene for up to 50 hours while maintaining a FE above 15% (Fig. 7b). Moreover, increasing the Cu loading further enhances this selectivity (Fig. 7c). However, excessive Cu deposition leads to NP accumulation at the base of the nanowire arrays, which leads to agglomeration and decreased active surface area,172 negatively impacting the conversion performance. Additionally, AuCu bimetallic NPs can be integrated with photoelectrodes to achieve selective PEC CO2 reduction to ethanol.173 While Cu facilitates C–C coupling, Au plays a critical role in modifying the binding energies of key reaction intermediates, such as *CH2CHO, *CH3CHO, and *CH3CH2O, thereby contributing to the reaction selectivity. However, to the best of our knowledge, this strategy has only been demonstrated in electrocatalysis, where the NPs are deposited on Cu submicrocone arrays (Cu SCAs) via an in situ reduction method. Nevertheless, this approach presents a promising pathway for achieving selective PEC CO2 reduction to multi-carbon products.
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Fig. 7 NP-enabled selectivity tuning in PEC CO2 reduction toward multi-carbon products. (a) Cu NPs/Si NW photocathode: (i) illustration and (ii) PEC reaction mechanism. (b) PEC CO2 reduction performance of the Cu NPs/Si NW photocathode over 50 h. (c) FE of PEC CO2 reduction products as a function of Cu NP loading. Adapted from ref. 171 with permission. Copyright 2022 American Chemical Society. |
In conclusion, the examples discussed above highlight the ability of NPs to enhance and tune PEC biomass and CO2 valorization selectivity. In particular, they concentrate electromagnetic energy on their surfaces, generating “hot spots” that enhance light absorption and amplify localized electromagnetic fields, in turn boosting photocatalytic activity by increasing photogenerated charge carriers available for PEC reactions. Additionally, NPs extend the system's light absorption spectrum into the visible and near-infrared regions, further improving PEC performance. They also act as efficient light harvesters, channeling additional energy into selective photoelectrodes to promote improved PEC activity. Beyond light absorption, NPs promote charge separation by acting as electron reservoirs or sinks, which is critical in reducing charge recombination losses and ensuring selective transfer of photogenerated carriers to targeted reaction sites. In the context of selectivity tuning, the enhanced electromagnetic field near the plasmonic surface lowers activation energy for certain reactions, selectively stabilizing key intermediates or transition states. NPs also enhance the adsorption of biomass molecules near active sites, improving surface interactions and reaction kinetics. Given their versatility, decorating photoelectrodes' surface with NP cocatalysts holds significant potential for selectivity tuning and enhancement in a broad range of PEC reactions, including methane oxidation,174,175 ethanol oxidation,176 and nitrate reduction.177 However, a crucial consideration with NP surface functionalization relates to its concentration optimization, as excessive deposition can lead to agglomeration, which subsequently reduces the active surface area and negatively impacts performance. A summary of the role of NPs in enhancing and tuning PEC reaction selectivity is presented in Table 2.
Photoelectrodea | NP role | Deposition method | Reaction | Target product(s) | Selectivity | FE | Reaction conditions | Ref. |
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a MP: micropillar, NP: nanoparticle, NRA: nanorod array, NT: nanotube, NW: nanowire, and SCA: submicrocone array. | ||||||||
Au3Cu NPs/Si NW | Light harvester | Drop-casting | CO2 reduction | CO | N/A | 80% | • Electrolyte: CO2-saturated KHCO3 (0.1 M, pH 6.8) | 153 |
• Applied bias: −0.2 VRHE | ||||||||
• Light: AM 1.5G (100 mW cm−2) | ||||||||
TiO2–Ag NPs | Light absorption and charge transport promoter | Immersion and calcination | CO2 reduction | FA | N/A | 73% | • Electrolyte: CO2-saturated K2SO4 (0.5 M) | 154 |
• Applied bias: −1.2 VAg/AgCl | ||||||||
• Light: 300 W Xe lamp | ||||||||
Cu2O NW/Ag NPs | Light harvester and charge separation promoter | Vacuum thermal evaporation | CO2 reduction | Acetic acid | N/A | 47.7% | • Electrolyte: CO2-saturated KHCO3 (0.1 M) | 157 |
• Applied bias: −0.7 VRHE | ||||||||
• Light: AM 1.5G (100 mW cm−2) | ||||||||
Au NPs/C3N4 | Promoting middle hydroxyl oxidation, charge transfer and separation promoter, light harvester | Immersion | Glycerol oxidation | DHA | 53.7% | N/A | • Electrolyte: KOH (1 M) with glycerol (1 M) | 158 |
• Applied bias: 1.0 VRHE | ||||||||
• Light: AM 1.5G | ||||||||
WO3/BiVO4/Bi NPs | Middle hydroxyl adsorption site, light harvester, charge transport promoter | In situ reduction | Glycerol oxidation | DHA | 60.6% | N/A | • Electrolyte: Na2SO4 (0.5 M, pH 2) with glycerol (0.1 M) | 163 |
• Applied bias: 1.2 VRHE | ||||||||
• Light: AM 1.5G (100 mW cm−2) | ||||||||
Bi2O3 NPs/TiO2 NRAs | Middle hydroxyl adsorption site and charge transfer promoter | Electrodeposition and electro-oxidation | Glycerol oxidation | DHA | 75.4% | N/A | • Electrolyte: Na2SO4 (0.5 M, pH 2) | 164 |
• Applied bias: 1.0 V | ||||||||
• Light: AM 1.5G (100 mW cm−2) | ||||||||
TiO2 NTs/CuO NPs | CO2 adsorption site, charge transport and separation promoter | Dip-coating | CO2 reduction | Methanol | N/A | 57% | • Electrolyte: K2SO4 (0.1 M, pH 8) | 165 |
• Applied bias: 0.2 VAg/AgCl | ||||||||
• Light: UV-visible | ||||||||
Au NPs/TiO2/n+p-Si | Light harvester, charge separation and transport promoter, promoting COOH* formation and CO desorption | Electrodeposition | CO2 reduction | CO | N/A | 86% | • Electrolyte: CO2-saturated KHCO3 (0.1 M) | 166 |
• Applied bias: −0.4 VRHE | ||||||||
• Light: AM 1.5G (100 mW cm−2) | ||||||||
Ag NPs/p-Si | Light harvester, reaction and adsorption center | Metal-assisted chemical etching | CO2 reduction | CO | N/A | 10% | • Electrolyte: CO2-saturated NaHCO3 (0.5 M) | 167 |
• Applied bias: −0.87 VRHE | ||||||||
• Light: AM 1.5G (100 mW cm−2) | ||||||||
AgCu NPs/p-Si | Light harvester, reaction and adsorption center | Metal-assisted chemical etching | CO2 reduction | Methane | N/A | 18.2% | • Electrolyte: CO2-saturated NaHCO3 (0.5 M) | 167 |
• Applied bias: −0.87 VRHE | ||||||||
• Light: AM 1.5G (100 mW cm−2) | ||||||||
Ag NPs/Si MPs | Light harvester, reaction and adsorption center | Metal-assisted chemical etching | CO2 reduction | CO | N/A | 12.1% | • Electrolyte: CO2-saturated NaHCO3 (0.5 M) | 168 |
• Applied bias: −0.87 VRHE | ||||||||
• Light: AM 1.5G (100 mW cm−2) | ||||||||
AgCu NPs/Si MPs | Light harvester, reaction and adsorption center | Metal-assisted chemical etching | CO2 reduction | CO and methane | N/A | 16.7% (CO) and 9% (methane) | • Electrolyte: CO2-saturated NaHCO3 (0.5 M) | 168 |
• Applied bias: −0.87 VRHE | ||||||||
• Light: AM 1.5G (100 mW cm−2) | ||||||||
Cu NPs–Co3O4 NTs | CO2 adsorption and formate desorption sites | Electrodeposition | CO2 reduction | Formate | 100% | N/A | • Electrolyte: CO2-saturated Na2SO4 (0.1 M) | 169 |
• Applied bias: −0.9 VSCE | ||||||||
• Light: 10 mW cm−2 | ||||||||
Cu NPs/p-NiO | CO2 adsorption and activation to CO2− sites | Electron-beam physical vapor deposition | CO2 reduction | Formate | N/A | 20% | • Electrolyte: CO2-saturated K2CO3 (0.05 M) | 170 |
• Applied bias: −0.7 VRHE | ||||||||
• Light: 160 mW cm−2 | ||||||||
Cu NPs/Si NWs | C–C coupling catalyst | Drop-casting | CO2 reduction | Ethylene | N/A | 25% | • Electrolyte: CO2-saturated KHCO3 (0.1 M) | 171 |
• Applied bias: −0.5 VRHE | ||||||||
• Light: AM 1.5G (100 mW cm−2) | ||||||||
AuCu NPs/Cu SCAs | C–C coupling catalyst and CH2CHO*, CH3CHO*, and CH3CH2O* intermediate adsorption sites | In situ reduction | CO2 reduction | Ethanol and ethylene | N/A | 29% (ethanol) and 16% (ethylene) | • Electrolyte: CO2-saturated KHCO3 (0.5 M) | 173 |
• Applied bias: −1.0 VRHE (ethanol) and −1.1 VRHE (ethylene) | ||||||||
• Light: no information | ||||||||
TiO2/MOF(Ti)/Au NPs | Increasing surface roughness and light harvester | Photochemical | Methane oxidation | Methanol | N/A | 65.32% | • Electrolyte: Na2SO4 (0.1 M) | 174 |
• Applied bias: 0.5 VRHE | ||||||||
• Light: AM 1.5G (100 mW cm−2) |
A common application for surface engineering with QDs found in the literature is in PEC CO2 reduction systems. In such a case, integrating QDs to form a metal-insulator-semiconductor (MIS) structure offers a promising strategy by improving charge transfer and providing abundant active sites, thereby enhancing catalytic activity and selectivity for the PEC reaction.194–196 One example is the Ag3Cu/TiO2/ZnTe QD structure for the CO2 reduction reaction to CO.197 Through this design, the MIS structure effectively couples interfacial charge transport, surface reaction processes, and long-term stability, offering a robust PEC photocathode design. Under light irradiation, the ZnTe QDs absorb photons, generating minority electrons that tunnel through the TiO2 layer to the Ag3Cu nanocrystals (NCs), where reduction reactions involving CO2 or H+ occur (Fig. 8a). Furthermore, the ultrathin TiO2 layer reduces surface defects on the ZnTe film and minimizes charge recombination. Overall, this strategy leads to significant performance enhancements, as demonstrated by the Ag3Cu/TiO2/ZnTe photocathode achieving a photocurrent density of −10.68 mA cm−2 at −0.8 VRHE (Fig. 8b (i)) and a maximum FE of 86.5% for CO at −0.2 VRHE (Fig. 8b(ii)). However, despite its effectiveness, this approach is often associated with high costs.198 As a cost-effective alternative, immersion techniques can instead be employed. One example utilizes CuInS2 QDs along with Re catalysts to serve as photosensitizers on NiO photocathodes for selective PEC CO2 reduction to CO (Fig. 8c).199 Specifically in this approach, the CuInS2 QDs were directly synthesized from an aqueous solution using L-cysteine immobilized on a 1 mm thick NiO electrode by immersion. This method yields small molecular sizes, allowing more penetration into mesoporous NiO films and providing more surface coverage. CuInS2 QDs, with a valence band (VB) positioned at 0.5 V and a conduction band (CB) at −1.3 VNHE, can thermodynamically transfer photogenerated holes into the VB of NiO, allowing efficient charge separation and reaction progression. Additionally, the CB of CuInS2 facilitates efficient electron transfer to the Re catalysts due to the more negative reductive potential of the QDs. A PEC CO2 reduction test shows that the deposited CuInS2 QDs significantly enhance the photocurrent, as shown in Fig. 8d, albeit with a relatively low CO2 to CO FE of 32% at −0.87 VNHE. Nevertheless, these examples demonstrate the versatility and capability of QDs as co-catalysts to enhance the selectivity of PEC CO2 reduction to CO.
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Fig. 8 QDs as a co-catalyst for improved selectivity of the PEC CO2 reduction reaction. (a) Band diagram of the Ag3Cu/TiO2/ZnTe QD photocathode. The Ag3Cu NCs serve as a metallic collector on a TiO2-coated ZnTe QD semiconductor film. The diagram highlights key energy levels, including the conduction band (E0), valence band (EV), Fermi level of ZnTe (Ef,s), Fermi level of the metal (Ef,m), and the potential values of relevant chemical reactions (Ereaction), providing insight into the charge transfer mechanism and photocatalytic activity of the system. (b) PEC CO2 reduction performance of the Ag3Cu/TiO2/ZnTe QD photocathode shown as (i) the comparison of photocurrent density and (ii) the FE of CO and H2 production on the photocathode as a function of the applied bias. Adapted from ref. 197 with permission. Copyright 2021 The Royal Society of Chemistry. (c) The schematic representation of a PEC cell designed for CO2 reduction featuring a NiO photocathode co-modified with CuInS2 QDs and a Re catalyst. (d) Linear-sweep voltammetry curves of the NiO photocathode recorded for various samples under chopped light illumination. Adapted from ref. 199 with permission. Copyright 2019 The Royal Society of Chemistry. (e) Schematic diagram of the electric field-directed layer-by-layer assembly on an ITO substrate under an applied potential of 1000 mV. This process involves the deposition of strong polycations with distinct structural differences—cyclic versus branched monomer structures—which influence the assembly mechanism. These structural variations can impact key factors such as the growth dynamics and adsorption kinetics of the multilayers, ultimately affecting the overall stability and performance of the assembled film. (f) 3-Dimensional AFM phase imaging of (i) ITO-(PDDA/QDs)6 and (ii) ITO-(PMAEMA/QDs)6 surfaces. (g) CO2 reduction product yields obtained by potential controlled electrolysis under dark conditions (D) and light irradiation (L) over 3 h with −450 mV applied bias. Adapted from ref. 200 with permission. Copyright 2015 American Chemical Society. |
Adding to the versatility of QD utilization for the PEC CO2 reduction reaction, incorporating QDs onto electrode surfaces through bondage with polymers or biomolecules unveils opportunities to tune the selectivity of the reaction. In particular, electrostatic assembly can be achieved using an electric field-driven layer-by-layer deposition of polycations, such as poly(diallyldimethylammonium) (PDDA) and poly(2-trimethylammonium)ethyl methacrylate (PMAEMA) (Fig. 8e).200 It is later revealed that the former sample exhibits a higher structural profile (Fig. 8f (i)), whereas the latter displays higher average roughness (Fig. 8f(ii)). This increased roughness is likely associated with a greater presence of microdomain structures due to the incorporation of the PMAEMA polycation. The polycations influence the assembly process and interact with the QDs, resulting in a subtle shift in the onset potential for both electrodes. These shifts enhance intermolecular charge transfer and improve electrocatalytic performance. The photoelectrocatalytic activity of the (PDDA/QDs)6 assembly yielded carbon monoxide, methanol, and smaller amounts of formaldehyde, whereas the (PMAEMA/QDs)6 assembly exclusively produced formaldehyde, emphasizing its selectivity for HCOH formation (Fig. 8g). The distinct reaction products suggest that variations in the surface structure and the resulting interactions between polycations, QDs, and CO2 molecules drive two distinct reduction pathways, the formaldehyde and carbene pathways.
Based on the discussion above, surface functionalization with QDs serves as a powerful platform for PEC biomass and CO2 valorization selectivity enhancement and tuning. Their distribution onto photoelectrode surfaces often introduces additional energy levels in the heterostructure, which may more suitably align with the redox potentials of substrate molecules and/or biomass-derived intermediates. QDs also exhibit strong light absorption across a wide spectrum, boosting the overall photoelectrode's light harvesting ability and improving conversion efficiency. Due to their small sizes, QDs can infiltrate and decorate intricate photoelectrode morphologies like nanostructured or porous designs. Their tunable surface properties and ability to generate a high density of reactive sites enable precise modulation of reaction environments. Moreover, their strong quantum confinement effect can create highly reactive electronic states that selectively interact with specific functional groups in complex biomass molecules. In terms of selectivity, QDs are able to generate localized surface states that interact preferentially with certain intermediates. Lastly, the introduction of QDs can direct photogenerated electrons or holes toward specific reaction sites by modulating the local electronic environment of the photoelectrodes, ensuring efficient channeling of energy into selective reaction pathways and reducing side reactions. However, several challenges remain for the practical deployment of QD-functionalized PEC systems. In colloidal QD-based photoelectrodes, interfacial charge-carrier recombination, limited catalytic selectivity, and poor operational stability in aqueous electrolytes continue to hinder PEC performance.201 Furthermore, carbon-based QD-sensitized semiconductor systems, in particular, suffer from low efficiency due to small surface area and high energy barriers for charge transport.202 In the case of CO2 reduction, systems employing QDs often favor water reduction in carbonated solutions, as its pathway is kinetically more accessible.203 Despite these limitations, the unique tunability, strong light absorption, and capacity for selective interfacial interactions make QDs a highly promising class of surface modifiers for advancing PEC biomass and CO2 valorization. The selected utilization of various QDs for PEC biomass and CO2 valorization and their respective performances are summarized in Table 3.
Photoelectrode | QD role | Deposition method | Reaction | Target product(s) | Selectivity | FE | Reaction conditions | Ref. |
---|---|---|---|---|---|---|---|---|
Ag3Cu/TiO2/ZnTe QDs | Charge separation and transport promoter, light harvester | Spin-coating | CO2 reduction | CO | 6.8 CO![]() ![]() |
N/A | • Electrolyte: CO2-saturated KHCO3 (0.1 M, pH 6.8) | 197 |
• Applied bias: −0.2 VRHE | ||||||||
• Light: AM 1.5G | ||||||||
CuInS2 QDs/NiO | Charge separation and transport promoter | Immersion | CO2 reduction | CO | N/A | 32% | • Electrolyte: Ar and CO2-saturated DMF | 199 |
• Applied bias: −1.0 VRHE to −0.4 VRHE | ||||||||
• Light: 17 W, Zenaro Lighting GmbH, 420–750 nm | ||||||||
PMAEMA/QDs | Charge transport promoter and light harvester | Electric field-driven layer-by-layer | CO2 reduction | HCOH | 100% | N/A | • Electrolyte: CO2-saturated NaClO4 (0.1 M) | 200 |
• Applied bias: −0.45 V | ||||||||
• Light: 500 W Xe–Hg lamp |
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Fig. 9 SA utilization for PEC biomass valorization selectivity enhancement and tuning. (a) Fabrication steps for Pt SAs/def-TiO2 NRAs. (b) Glucose conversion and selectivity of glucaric acid (GLA) as a function of applied potential. (c) Glucose oxidation mechanisms on Pt SA-modified def-TiO2 under light illumination and applied bias. Adapted from ref. 212. Copyright 2023 The Author(s). (d) FE of CO production on the Si-NC/Si NW photocathode. (e) Schematic of the PEC CO2 reduction mechanism on the Si-NC/Si NW photocathode. Adapted from ref. 213 with permission. Copyright 2024 The Royal Society of Chemistry. (f) Synthesis process of Pt–SAs/WOx. (g) Selectivity and FE of PEC glycerol oxidation on Pt–SAs/WOx compared to WO3 and WOx photoelectrodes. Adapted from ref. 214 with permission. Copyright 2024 Wiley-VCH GmbH. |
Beyond improving charge transfer, SAs' unsaturated coordination environments lead to stronger interactions with reactants and intermediates. These unique active sites enable precise tuning of reaction pathways, significantly improving PEC reaction selectivity.20 Furthermore, SAs prevent active site aggregation, ensuring uniform activity and precise control over the catalytic process. One example of the effort to harness these properties is by dispersing Ni SAs on silicon nanowires (Si NWs), which allows the photocathode to achieve nearly 100% FE for CO2 reduction to CO at −0.6 VRHE (Fig. 9d).213 This high selectivity stems from the unique electronic structure of Ni SAs. Among transition metals, Ni exhibits the lowest thermodynamic barrier for *COOH formation and CO desorption, favoring CO2 reduction to CO (Fig. 9e). Additionally, the high surface area of Ni SAs dispersed on Si NWs provides abundant reaction sites, further enhancing catalytic performance. In detail, under illumination, electrons in Si are excited from the corresponding VB to CB. When an external bias is applied, electrons from the CB of Si are driven toward Ni SAs, where CO2 reduction to CO occurs. In addition, Pt SAs can be dispersed on a WO3 amorphous/crystalline homojunction to selectively oxidize glycerol to DHA.214 The photoanode is fabricated through the electrochemical reduction of WO3, followed by immersion in a solution containing 2,2′-bipyridine and Pt cations ([Pt(bpy)]2+) and annealing (Fig. 9f). Due to its unique gradient structure, the photoanode exhibits an upward shift in EF from the inner to the outer layer. This shift generates an internal electric field that, upon illumination, drives photogenerated charge carriers toward the photoanode/electrolyte interface, where they participate in the oxidation reaction. Additionally, this internal electric field effectively suppresses charge recombination, further enhancing the reaction efficiency. In this approach, adsorption plays a crucial role. The middle hydroxyl groups of glycerol spontaneously adsorb onto the W atom sites of the photoelectrode, while Pt SAs provide additional adsorption sites for the oxygen atoms of both the terminal and middle hydroxyl groups of glycerol. Once adsorbed, glycerol undergoes dehydrogenation, forming carbon-centered radicals as intermediates through reactions with photogenerated holes from the photoanode. The unique structure of the Pt-SA/WOx surface significantly influences selectivity. The free energy barrier for radical formation at the middle carbon is lower than that at the terminal carbon, favoring the selective conversion of glycerol to DHA. As a result, the Pt-SA/WOx photoanode achieves an impressive glycerol-to-DHA selectivity of up to 60.2% (Fig. 9g). Additionally, Co SAs can be integrated with C3N4/α-Fe2O3 to enhance PEC-driven syngas production from CO2 reduction.215 Although the actual syngas production occurs at a bimetallic Ag/Pd cathode, where CO2 chemisorption and CO desorption take place, Co SAs play a crucial role by providing active sites for C3N4 anchoring. These sites facilitate water oxidation and proton/electron transfer, supporting overall reaction efficiency.
While the application of SAs has been extensively explored and widely used in electrochemical systems,216–219 these examples highlight their versatility in PEC biomass valorization. Unlike nanoparticles or quantum dots, SAs serve as isolated, highly efficient catalytic centers due to their unique electronic and geometric characteristics. From a photoactivity perspective, SAs profoundly influence the electronic structure of the underlying catalyst. This modification enhances light absorption and optimizes energy band alignment, improving photogenerated charge carrier separation while minimizing recombination losses. SAs can also act as electron sinks or hole traps, facilitating charge carrier transfer to reactants and accelerating reaction kinetics. Beyond improving charge transfer, SAs' unsaturated coordination environments lead to stronger interactions with reactants and intermediates. These unique active sites enable precise tuning of reaction pathways, significantly improving PEC reaction selectivity. Furthermore, SAs prevent active site aggregation, ensuring uniform activity and precise control over the catalytic process. Their high surface area also provides abundant reaction sites. However, functionalization with SAs often comes with a high cost due to their sophisticated method.220 A summary of SA-based PEC biomass valorization strategies is presented in Table 4.
Photoelectrodea | SA role | Deposition method | Reaction | Target product(s) | Selectivity | FE | Reaction conditions | Ref. |
---|---|---|---|---|---|---|---|---|
a NRA: nanorod array, NW: nanowire, and SA: single atom. | ||||||||
Pt SAs/TiO2 NRAs | Charge transport promoter | Atomic layer deposition | Glucose oxidation | Glucaric acid | 84.3% | N/A | • Electrolyte: KOH (1 M) with glucose | 212 |
• Applied bias: 0.6 VRHE | ||||||||
• Light: AM 1.5G (100 mW cm−2) | ||||||||
Ni-NC/Si NWs | Charge transport, promoting COOH* formation and CO desorption | Drop-casting | CO2 reduction | CO | N/A | 100% | • Electrolyte: CO2-saturated KHCO3 (0.1 M) | 213 |
• Applied bias: −0.6 VRHE | ||||||||
• Light: AM 1.5G (100 mW cm−2) | ||||||||
Pt SAs/WOx | Charge separation and transport promoter, adsorption site for O atoms of the terminal and middle hydroxyl | Immersion | Glycerol oxidation | DHA | 60.2% | N/A | • Electrolyte: Na2SO4 (0.5 M) with glycerol (0.1 M) with pH 2, adjusted by H2SO4 | 214 |
• Applied bias: 1.2 VRHE | ||||||||
• Light: AM 1.5G (100 mW cm−2) |
One effective approach to improving the selectivity of PEC biomass valorization is to leverage the tunable interaction of LDHs with reactants. For instance, NiCo LDHs can be employed to improve the selectivity of PEC glycerol225 and benzyl alcohol226 oxidation reactions. For the former, controlling selectivity to a higher-valued chemical remains a challenge due to frequent C–C bond cleavage and hydroxyl group peroxidation during electrooxidation. Therefore, to address this, activated NiCo-LDH can be integrated with BiVO4 (Fig. 10a) to produce DHA. The surface oxygen activation process significantly increases the lattice oxygen content, primarily due to the dehydrogenation of hydroxyl groups, which then exposes active oxygen sites on the LDH surface. As a result, it enhances both hole transfer efficiency and surface oxidation activity (Fig. 10b), contributing to improved selectivity to nearly 42% and a productivity of 20.5 μmol cm−2 h−1 at 1.4 VRHE under light illumination (Fig. 10c(i)), which is higher than those of bare BiVO4 and inactivated LDH-modified photoelectrodes. Notably, when the applied bias was increased, DHA selectivity decreased, likely due to excessive glycerol oxidation, which led to C–C bond breakage (Fig. 10c(ii)). It thus demonstrates tunable selectivity for PEC glycerol oxidation. Moreover, for the selective PEC oxidation of benzyl alcohol, an α-Fe2O3 photoanode can be loaded with a NiCo-LDH cocatalyst via a hydrothermal method. In this approach, the performance depends on the relative Ni and Co content in NiCo-LDH (Fig. 10d). As the Co content increases, the electron density of Ni decreases, making it more susceptible to oxidation. At the same time, the energy barrier for forming high-valence species is lowered, thereby enhancing the driving force for NiCo-LDH oxidation by photogenerated holes on α-Fe2O3. This effect is crucial because if the oxidative capability of high-valence NiCo-LDH species is too weak, it becomes challenging to extract protons and electrons from alcohol molecules. As shown in Fig. 10e, the photoanode achieved a benzyl alcohol conversion efficiency of 99.1% and a benzoic acid selectivity of 90.9%. This mechanism confirms that the NiCo-LDH cocatalyst facilitates PEC benzyl alcohol oxidation through an indirect catalytic process involving high-valence species.
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Fig. 10 LDH–reactant interaction modulation for PEC biomass valorization selectivity control. (a) Fabrication steps for the BiVO4/NiCo-LDH-Act photoanode. The LDH is electrodeposited with a three-electrode configuration at −1.0 VAg/AgCl potential with 7.5 × 10−3 C loading. LDH activation is conducted through cyclic voltammetry from 0 to 0.7 V for 3 cycles. (b) Mechanism of glycerol adsorption and oxidation to DHA on BiVO4/NiCo-LDH-Act. Upon illumination, photogenerated holes facilitate the formation of OH radicals on the surface. These adsorbed OH radicals extract H atoms of glycerol, thereby promoting selective glycerol conversion to DHA. (c) Productivity of various glycerol oxidation products and DHA selectivity over BiVO4/NiCo-LDH-Act (i) compared to inactivated BiVO4/NiCo-LDH and bare BiVO4 photoanodes and (ii) at different potentials within 1 h. Adapted from ref. 225 with permission. Copyright 2022 Elsevier B.V. (d) Performance of the α-Fe2O3/NiCo-LDH photoanode represented as (i) current density for different Ni and Co compositions and (ii) product selectivity over 3 h of reaction. Adapted from ref. 226 with permission. Copyright 2024 American Chemical Society. |
Aside from modifying LDH interaction with reactants, LDHs can lead to an increased active surface area, which will improve the PEC performance of the system. For instance, trimetallic transition metal CoNiFe-LDH can be electrodeposited onto Ta3N5 nanotube arrays (Fig. 11a).227 Through this approach, the trimetallic CoNiFe-LDH nanosheets (NSs) exhibit an enhanced specific surface area, a higher density of exposed active sites, and reduced charge-transfer resistance, attributed to their ultrathin 2D nanostructure and optimized electronic properties (Fig. 11b). This strategy successfully enhances the selectivity of the PEC GOR, achieving nearly 100% FE for the co-production of formate and H2 (Fig. 11c). The improved selectivity stems from the efficient transfer of photogenerated holes in Ta3N5 to the photoelectrode/electrolyte interface, which is assisted by CoNiFe-LDH. Furthermore, the surface-adsorbed glycerol molecules are then activated by these holes and converted into formic acid through further oxidation, which involves C–C bond cleavage. The unique structure of CoNiFe-LDHs and their ability to increase active sites result in improved adsorption and interaction between glycerol and the photoanode. Combining the strategies mentioned above, an ultrathin Co-based layered double hydroxide catalyst and graphene can be incorporated into BiVO4 photoanodes using a hydrothermal method followed by acetone treatment to selectively oxidize benzyl alcohol to benzaldehyde (Fig. 11d).228 The additional acetone treatment promotes the specific growth needed to form ultrathin LDH nanosheets. With this approach, a benzaldehyde yield of 289 μmol was achieved in 4 hours, with a selectivity of nearly 100% (Fig. 11e). This impressive performance stems from the capabilities of the LDH to lower their adsorption energy by adsorbing OH radicals through hydrogen bonding. Furthermore, under illumination, the benzyl alcohol adsorbs onto the LDH surface and converts to carbon-centered radicals, which then combine with the relayed OH radicals obtained by the oxidation of water, and the C–O bond was activated to produce benzaldehyde.
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Fig. 11 LDH-improved active surface area to enhance PEC biomass valorization selectivity. (a) Fabrication steps of the CoNiFe-LDH/Ta3N5 photoanode. (b) Plots of current density as a function of scan rate for the bare Ta3N5 (blue) and CoNiFe-LDH/Ta3N5 photoelectrodes. The electrochemically active surface area (ECSA) is estimated by double-layer capacitance, which is represented by a linear slope. The ECSA of LDH-modified Ta3N5 is calculated to be 1.38 times that of bare Ta3N5. (c) Yield of formate and the corresponding FE for formate on CoNiFe-LDH/Ta3N5. Adapted from ref. 227 with permission. Copyright 2021 Elsevier Ltd. (d) Fabrication process of graphene@ultrathin-CoAl-LDH@BiVO4. BiVO4 particles were synthesized on fluorine-doped tin oxide substrates using an electrodeposited-Bi precursor method. Ultrathin LDH nanosheets were vertically grown on the BVO surface via a conventional hydrothermal method, forming the ultrathin-CoAl-LDH@BiVO4 photoanode. To further enhance charge transfer, acetone and graphene dispersion were introduced during the hydrothermal process, resulting in the formation of the graphene@ultrathin-CoAl-LDH@BiVO4 photoanode. (e) Benzaldehyde yield and selectivity as a function of reaction time under illumination at an applied potential of 1.2 VRHE. Adapted from ref. 228 with permission. Copyright 2020 American Chemical Society. |
Another role LDHs play in improving the selectivity of PEC biomass valorization is enhancing charge transfer. For instance, BiVO4/NiCo-LDH is shown to improve the selectivity for PEC ethylene glycol oxidation, a key process for converting hydrolysis byproducts of polyethylene terephthalate (PET) plastic waste. Specifically, the heterostructure achieves an impressive FE of over 90% for formate in 0.1 M KOH (Fig. 12a),229 attributed to the synergistic effect of Ni(OH)x and Co(OH)x. On one hand, Ni(OH)x provides a high number of active sites for ethylene glycol oxidation. On the other hand, Co(OH)x on BiVO4 acted as a protective layer. Furthermore, when combined, the generation and transfer of photoexcited holes from BiVO4 to NiCo-LDH lead to the oxidation of Ni2+ and Co2+ to higher oxidation states (Ni3+ and Co3+ or beyond), further catalyzing ethylene glycol oxidation. In addition, Co-LDH, alone, can be utilized to improve the selectivity of glycerol oxidation toward high-value products, particularly DHA.230 This approach involves developing Bi2O3 on TiO2 nanorod arrays via electrodeposition, followed by the hydrothermal synthesis of linear Co-LDH on Bi2O3/TiO2 (Fig. 12b). Through this method, a dual type-II heterojunction is formed, effectively suppressing electron–hole recombination. The resulting photoanode allows PEC glycerol oxidation to achieve 65% selectivity, surpassing the 52% for bare Bi2O3/TiO2 (Fig. 12c).
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Fig. 12 Utilization of LDHs and hydroxides as charge transfer promoters to improve PEC biomass valorization selectivity. (a) FE of formate from ethylene glycol oxidation on the BiVO4/NiCo-LDH, BiVO4/Ni(OH)x and BiVO4/Co(OH)x photoanodes at an applied bias of 1 VRHE. Adapted from ref. 229 with permission. Copyright 2024 Wiley-VCH GmbH. (b) Fabrication process of the Co-LDH/Bi2O3/TiO2 photoanode. (c) Selectivity of glycerol oxidation products of Co-LDH/Bi2O3/TiO2 compared to other photoanodes. Adapted from ref. 230 with permission. Copyright 2025 American Chemical Society. (d) Ni(OH)2-deposited Ti:Fe2O3 for selective HMF oxidation to FDCA. (e) UV-vis absorbance spectra evolution from 0 to 22 h of HMF reaction on Ni(OH)2/Ti:Fe2O3. |
Beyond layered double hydroxides, the use of hydroxides such as Ni(OH)2 offers a promising strategy to tune the selectivity of HMF oxidation. In one such system, Ni(OH)2 is deposited on the surface of titanium-doped hematite (Ti:Fe2O3) (Fig. 12d).231 Fe2O3 was chosen for its inherent stability, cost-effectiveness, and excellent light-harvesting capabilities in the visible spectrum.232 However, its widespread application is often hampered by limited hole diffusion and charge injection efficiency. The introduction of the Ti dopant effectively addresses these limitations by improving charge carrier transport and significantly reducing the recombination of photogenerated charge carriers.233 Furthermore, the deposition of Ni(OH)2 leads to the swift utilization of excess holes on the oxidized nickel sites by HMF, as evidenced by the nickel oxidation state as a function of applied potential. This strong hole utilization is crucial because it effectively diverts photogenerated holes towards HMF oxidation, thereby suppressing the competitive OER and directly enhancing the selectivity toward HMF oxidation. This directly enhances the selectivity towards HMF oxidation over water oxidation. From a reaction kinetics perspective, the regeneration of Ni4+ from its reduced state is the rate-determining step. The decrease in the nickel oxidation state upon HMF addition indicates that Ni4+ is rapidly reduced through interaction with HMF. Through the evolution of the absorption spectra (Fig. 12e), it was calculated that the deposition of Ni(OH)2 results in up to 49% selectivity towards FDCA.
To summarize, these examples highlight the versatility of LDHs as cocatalysts in selective PEC biomass valorization reactions. With the ability to modify the binding energy of molecule species and enhance charge transport, LDHs offer a promising solution to improve the selectivity of PEC biomass valorization. Despite their promising advantages, LDHs also present several limitations that can hinder their practical application in PEC biomass valorization. One key drawback is the precise control over the composition and crystallinity of LDHs, particularly when scaling up synthesis for practical applications. These limitations underscore the need for continued optimization of LDH synthesis, stabilization, and integration strategies in PEC systems. The utilization of LDHs in PEC biomass valorization is summarized in Table 5.
Photoelectrodea | LDH role | Deposition method | Reaction | Target product(s) | Selectivity | FE | Reaction conditions | Ref. |
---|---|---|---|---|---|---|---|---|
a Act: activated and NA: nanotube array. | ||||||||
BiVO4/NiCo-LDH-Act | Promoting surface oxidation and charge transfer promoter | Electrodeposition and CV-assisted activation | Glycerol oxidation | DHA | 42% | N/A | • Electrolyte: Na2SO4 (0.5 M) with glycerol (0.6 M) | 225 |
• Applied bias: 1.4 VRHE | ||||||||
• Light: AM 1.5G (300 W Xe lamp) | ||||||||
α-Fe2O3/NiCo-LDH | Promoting high-valence species formation and surface oxidation | Hydrothermal | Benzyl alcohol oxidation | Benzoic acid | 90.9% | N/A | • Electrolyte: KOH (1 M) with benzyl alcohol (50 mM) | 226 |
• Applied bias: 1.23 VRHE | ||||||||
• Light: AM 1.5G (300 W Xe lamp) | ||||||||
CoNiFe-LDHs/Ta3N5 NAs | Promoting glycerol adsorption and C–C bond breaking, charge transfer promoter | Electrodeposition | Glycerol oxidation | Formate | 98% | N/A | • Electrolyte: NaOH (0.1 M) | 227 |
• Applied bias: 1.4 VRHE | ||||||||
• Light: AM 1.5G (Xe lamp) | ||||||||
Graphene@ ultrathin-CoAl-LDH @BiVO4 | Promoting benzyl alcohol and OH radical adsorption, charge transfer promoter | Hydrothermal | Benzyl alcohol oxidation | BAD | 99% | N/A | • Electrolyte: PBS (0.1 M, pH 7) with benzyl alcohol (2 mM) | 228 |
• Applied bias: 1.2 VRHE | ||||||||
• Light: AM 1.5G (100 mW cm−2) | ||||||||
BiVO4/NiCo-LDH | Charge transfer promoter | Hydrothermal | Ethylene glycol oxidation | Formate | N/A | 85% | • Electrolyte: KOH (0.1 M) | 229 |
• Applied bias: 1.0 VRHE | ||||||||
• Light: AM 1.5G | ||||||||
Co-LDH/Bi2O3/TiO2 | Charge transfer promoter | Hydrothermal | Glycerol oxidation | DHA | 65% | N/A | • Electrolyte: Na2SO4 (0.1 M) with glycerol (0.1 M) | 230 |
• Applied bias: 1.23 VRHE | ||||||||
• Light: AM 1.5G |
As an example, anchoring 5,10,15,20-tetrakis(4-carboxylphenyl)porphyrin (TCPP) molecules onto Ce–CoCu-LDH has been shown to enhance PEC methanol oxidation.234 Here, TCPP exhibits high catalytic activity and durability, consequently increasing the light absorption capability of the photoelectrode and generating more photogenerated electrons. Moreover, rapid charge transfer from TCPP to Ce–CoCu-LDH mitigates charge recombination, leading to an enhancement in reactivity by up to 2.3 times even after 500 cycles (Fig. 13a). The method of immobilizing molecular catalysts onto the photoelectrode also plays a crucial role in optimizing charge transfer. For example, modifying the preparation steps allows Si/rGO photoelectrodes to be loaded with a Co-based molecular co-catalyst in different stacking configurations, yielding varying performances.235 In one strategy, cobalt tetraphenylporphyrin (CoTPP) is immobilized on Si/GO and Si/rGO photoelectrodes through impregnation adsorption in DMF, followed by either separate or simultaneous graphene reduction and calcination (Fig. 13b). This approach enables the photoelectrode to achieve an impressive 82.8% FE for CO from PEC CO2 reduction at a near-neutral potential of −0.1 VRHE. The simultaneous reduction and calcination process strengthens the electronic interaction between rGO and CoTPP, as evidenced by the shifted Co binding signals (Fig. 13c). Consequently, enhanced electronic interaction improves electron transfer kinetics and catalytic activity, translating to a superior CO selectivity of up to 82.8% in CO2 reduction at −0.1 VRHE (Fig. 13d). In addition, the catalytic activity of molecular cocatalyst-modified photoelectrodes can be improved by creating synergistic interfaces.236 The formation of these synergistic interfaces is possible due to the modularity of coordination compounds of the molecular cocatalysts. One notable example is the improved oxidation of para-methoxy benzyl alcohol (MeO-BA) to para-methoxy benzaldehyde using a catalyst-dye-acceptor molecular array.237 This array comprises a Ru tris–bipyridine complex as a photosensitizer, linked at one end to 2,2,6,6-tetramethyl-1-piperidine N-oxyl (TEMPO) as an alcohol oxidation catalyst, and at another end to the electron acceptor naphthalene-dicarboxyanhydride-dicarboximide (NDADI). Upon illumination, the Ru complex undergoes metal-to-ligand charge transfer, followed by electron injections either directly to the substrate (ITO NPs) or to NDADI. In the former case, the hole shifts from RuIII to TEMPO, driving the oxidation reaction. In the latter case, an additional electron transfer occurs before the hole transfer to TEMPO and subsequent catalysis (Fig. 13e). This synergistic architecture enables the photoelectrode to achieve an outstanding 80% FE for para-methoxy benzaldehyde, a significant improvement from the initial 28% FE without TEMPO. This selectivity enhancement results from the combination of the highly oxidative Ru complex and the efficient hole transfer to TEMPO.
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Fig. 13 Molecular co-catalyst utilization to improve catalytic activity for enhanced PEC biomass valorization selectivity. (a) Reactivity stability of bare and modified CoCu-LDHs over 500 cycles for methanol oxidation. Adapted from ref. 234 with permission. Copyright 2022 American Chemical Society. (b) Preparation steps for Si/GO/Co, Si/rGO-Co and Si/rGO/Co photocathodes. (c) XPS spectra of Co 2p for Si/GO/Co, Si/rGO-Co and Si/rGO/Co photocathodes. The peak shift is bigger for Si/rGO-Co compared to Si/rGO/Co, indicating that the electronic interaction of the former is stronger than that of the latter, which aligns with its improvement in selectivity towards CO from PEC CO2 reduction. (d) FE of CO from CO2 reduction over various photocathodes as a function of applied bias. Adapted from ref. 235 with permission. Copyright 2023 Wiley-VCH GmbH. (e) Ru-based molecular co-catalyst structure used to modify the α-Fe2O3 photoanode surface. Ru2 and Ru4 are synthesized as the carboxylic derivatives of Ru1 and Ru3, respectively, to enable the anchoring process on the surface of α-Fe2O3. The immobilization is conducted by stirring α-Fe2O3 with methanol solution containing the molecular co-catalysts. |
In the domain of selectivity tuning, molecular co-catalysts provide well-defined active sites with tunable electronic and geometric properties, enabling selective interactions with specific reactants or intermediates.41,238,239 This targeted interaction minimizes the formation of undesired by-products and enhances the yield of high-value products. One effective strategy to exploit these capabilities is the integration of a photoelectrode with a molecular co-catalyst tailored for specific reactions. For instance, (bpy)Re(CO)3Cl is commonly employed to enhance CO2 reduction selectivity toward CO by suppressing formate formation while promoting CO production.240 This selectivity arises from the unique reaction pathway in which formate is generated through a hydride reaction at an anion coordination site, whereas CO2 fixation occurs at another site of the Re complex, thereby preventing formate production due to coordinating anions. A practical approach to leveraging this strategy involves coupling porous p-Si with (bpy)Re(CO)3Cl via hydrosilylation (i.e., the addition of Si–H across unsaturated CC or C
O bonds), forming a (bpy)Re(CO)3Cl@porSi (1@porSi) photoelectrode (Fig. 14a).241 Planar p-Si is electrochemically etched using a hydrofluoric acid solution in ethanol with a 40 mA current to create a porous morphology. This increases the active surface area, enabling greater co-catalyst loading and thereby improving the reactivity and selectivity of CO2 reduction. Under AM 1.5G illumination at −1.71 VFc+/Fc in CO2-saturated acetonitrile containing phenol, the photoelectrode achieved an average FE of 90% for CO, significantly outperforming pristine porous p-Si and exhibiting a five-fold improvement over Re complex-deposited planar p-Si (Fig. 14b), with high durability (Fig. 14c). Notably, the 1@porSi photoelectrode maintained a FE above 70% even after 5.5 hours of reaction, whereas the catalyst-deposited planar p-Si exhibited activity for only 15 minutes. This high selectivity can be attributed to the substantial molecular catalyst loading, with 41 nmol of Re per 1.2 cm2 of the 1@porSi photoelectrode—approximately 100 times greater than that of planar p-Si. Moreover, the Re complex demonstrates excellent stability, with minimal leaching observed, as only 10% of the initial catalyst was found in solution after extended operation. Another promising approach involves the integration of mesoporous TiO2-coupled p-Si (Si/mesoTiO2) with phosphonated cobalt(II) bis(terpyridine) (CotpyP) molecular catalysts via an immersion process to enhance PEC CO2 reduction.242 The mesoporous TiO2 interlayer facilitates high CotpyP loading, improving electron transfer efficiency. Under sunlight irradiation, photogenerated carriers are transferred from Si to the meso-TiO2 layer and subsequently to the adsorbed molecular catalysts. The catalytic process involves the formation of [CoI]n−1 molecular species through two possible pathways, depending on electrolyte water content: direct proton-coupled electron transfer or an indirect chemical step via [CoI]n−2 intermediates. Following CO2 adsorption and electron transfer, [CoI]n−2 transforms into [CoII–CO2−]n−2, a key CO-releasing intermediate. Additionally, de-coordination of pyridines stabilizes [CoII–CO2−]n−2 via protonation of nitrogen atoms from deprotonated phosphonic acid, which serves as a proton relay to facilitate selective CO2 reduction to CO rather than formate. This system achieved an FE of up to 48% for CO under AM 1.5G irradiation at −1.0 VFc+/Fc in anhydrous acetonitrile containing 40% water.
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Fig. 14 Molecular co-catalyst-enabled PEC biomass valorization selectivity tuning. (a) Immobilization step of 1 onto porSi to form a 1@porSi photoelectrode. (b) Comparison of product yields and FE on 1@porSi compared to other photoelectrodes. (c) Performance of 1@porSi represented as the evolution of FE over 6 h of PEC CO2 reduction reaction. Adapted from ref. 241 with permission. Copyright 2024 American Chemical Society. (d) Fabrication process of STA-GO/CoPc. (e) PEC CO2 reduction of STA-GO/CoPc performance represented as FE over varying applied potentials. Adapted from ref. 243 with permission. Copyright 2022 Wiley-VCH GmbH. |
Molecular co-catalysts also enable multi-electron transfer reactions, a challenge in conventional PEC systems.244 Their ability to sequentially store and transfer multiple electrons or holes allows them to drive complex transformations, such as the reduction of oxygenated biomass intermediates or selective oxidation processes.245,246 A notable example is the utilization of cobalt phthalocyanine (CoPc) as a molecular co-catalyst on Si–TiO2-APTES substrate-supported graphene oxide (STA-GO) for selective PEC CO2 reduction to CO and methanol (Fig. 14e).243 This architecture achieves faradaic efficiencies of 86% and 8% for CO and methanol, respectively (Fig. 14f). The CoPc catalyst facilitates the six-electron reduction of CO2, enabling methanol formation at higher applied bias. However, the relatively low methanol faradaic efficiency is not due to CoPc's catalytic limitations but rather to weak CO trapping on the Si surface, which favors CO production. Thus, modifying the planar Si structure to a more CO-adsorptive configuration could further enhance methanol selectivity.
To summarize, integration of molecular co-catalysts into PEC systems offers a highly effective strategy for enhancing and tuning the selectivity of biomass and CO2 valorization reactions. These co-catalysts provide several key advantages, such as precise tunability of redox properties and coordination environments to match specific reaction requirements, enhanced charge transfer kinetics that suppress recombination and improve carrier utilization, well-defined active sites that enable high selectivity toward desired products, and support for complex multi-electron reactions that are otherwise challenging in PEC systems. Despite their considerable advantages, the practical application of molecular co-catalysts in PEC systems is not without limitations. One critical challenge is their long-term operational stability, particularly under harsh photoelectrochemical conditions, where prolonged exposure to light, potential cycling, or aqueous media may lead to photodegradation and ultimately loss of catalytic activity.247 Additionally, achieving robust and uniform immobilization of molecular co-catalysts on semiconductor surfaces often requires intricate synthetic protocols or surface modifications that may not be easily scalable. Furthermore, many high-performing molecular co-catalysts incorporate rare or expensive transition metals, which could limit their economic viability for large-scale deployment.248 Therefore, while molecular co-catalysts offer an excellent platform for advancing PEC selectivity and activity, overcoming these challenges remains essential for their transition from laboratory-scale systems to practical biomass and CO2 valorization technologies. Despite these limitations, molecular co-catalysts remain a promising frontier for advancing selective and efficient PEC valorization technologies. The utilization of molecular cocatalysts for PEC biomass and CO2 valorization selectivity enhancement and tuning is summarized in Table 6.
Photoelectrode | Molecular cocatalyst function | Deposition method | Reaction | Target product(s) | Selectivity | FE | Reaction conditions | Ref. |
---|---|---|---|---|---|---|---|---|
Si/rGO-Co | Charge transfer promoter | Calcination | CO2 reduction | CO | 82.8% | N/A | • Electrolyte: CO2-saturated KHCO3 (0.1 M) | 235 |
• Applied bias: 0.1 VRHE | ||||||||
• Light: AM 1.5G (100 mW cm−2) | ||||||||
NDADI-P-Ru-TEMPO | Oxidation sites and charge transfer promoter | Chemical activation, ligand reaction, and complexation | Para-methoxy benzyl alcohol oxidation | Para-methoxy | N/A | 80% | • Electrolyte: CH3CN with Bu4NPF6 (0.1 M) with 50 mM para-methoxy benzyl alcohol | 237 |
Benzaldehyde | ||||||||
• Applied bias: 0.4 VSCE | ||||||||
• Light: AM 1.5G | ||||||||
(bpy)Re(CO)3Cl@porSi | CO2 reduction sites and charge transfer promoter | Hydrothermal | CO2 reduction | CO | N/A | 90% | • Electrolyte: CO2-saturated MeCN with 100 mM phenol | 241 |
• Applied bias: −1.71 VFc+/Fc | ||||||||
• Light: AM 1.5G (100 mW cm−2) | ||||||||
Si/mesoTiO2/CotpyP | CO2 reduction and CO desorption intermediate, charge transfer promoter | Immersion | CO2 reduction | CO | N/A | 48% | • Electrolyte: CO2-saturated TBABF4 (0.1 M) with 40% water:MeCN mixture | 242 |
• Applied bias: 1.0 VFc+/Fc | ||||||||
• Light: AM 1.5G (100 mW cm−2) | ||||||||
STA-GO/CoPc | Facilitating six-electron reduction process | Ultrasonication | CO2 reduction | CO and methanol | N/A | 86% (CO) and 23% (methanol) | • Electrolyte: CO2-saturated KHCO3 (0.1 M) | 243 |
• Applied bias: −0.28 VRHE (CO) and −1.0 VRHE (methanol) | ||||||||
• Light: 1.5 sun illumination |
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Fig. 15 Crystal facet tuning to modulate adsorption behavior and enhance charge transport for improved PEC biomass valorization selectivity. (a) PEC glycerol oxidation performance on (010)-dominant BiVO4 compared to regular BiVO4 (r-BiVO4) represented by (i) product selectivity and (ii) yield. The (010) and (121) facet-dominated BiVO4 is fabricated through a solvent-assisted hydrothermal method. The distinction of the process is the difference in reaction pH (0.9 and 0.4 for (121) and (010)-BiVO4, respectively). Adapted from ref. 259 with permission. Copyright 2020 Elsevier B.V. (b) HR-TEM image of (002)-exposed WO3. (c) PEC glycerol oxidation (i) selectivity and (ii) FE of GA on (002)-exposed WO3 compared to (200)-exposed WO3. (d) Free energy diagram of PEC glycerol oxidation on top of (i) the (002) facet and (ii) the (200) facet of WO3. Adapted from ref. 260 with permission. Copyright 2023 Wiley-VCH GmbH. |
In addition to altering adsorption behavior, crystal facet tuning could also significantly influence both electronic and optical properties of the photocatalyst, enhancing the overall PEC performance.46,134,261 Certain facets possess distinct electronic structures, such as a higher density of surface states or better band edge alignment, which facilitate efficient separation and transfer of photogenerated charge carriers. Electrons and holes may preferentially migrate along specific facets and allow photogenerated carriers to reach reaction sites with minimal recombination losses.262 Many studies reported that facets with favorable electronic structures may also reduce bandgaps or introduce localized surface states, which enhance the ability to absorb a broader light spectrum.263,264 Moreover, facets with high surface energy can amplify localized electric fields. Consequently, it could enhance the activation energy of specific reaction pathways and further improve product selectivity. For instance, monoclinic WO3 nanosheets with exposed [002] facets were proven to be effective for selective PEC oxidation of glycerol to GA (Fig. 15c).260 A photocurrent density of 1.7 mA cm−2 was achieved with 73% GA selectivity and 39% FE at 0.9 VRHE under AM 1.5G illumination (Fig. 15d). Both experimental and theoretical analyses revealed that the superior performance of (002) facets is attributed to better charge separation, prolonged carrier lifetime from abundant surface trapping states, a lower energy barrier for the glycerol-to-GA reaction, more active sites, and stronger oxidative power of photogenerated holes. This was further confirmed by DFT calculation, which revealed that the glycerol oxidation mechanisms—for the production of both GA and DHA—are modified with the exposure of the (002) crystal facet in WO3. WO3 with exposed (002) facets exhibited a much lower energy barrier for glycerol oxidation than that with (200) facets (Fig. 15d(i and ii)). This is primarily due to the ability of the (002) surface to form a spontaneous and strong electrostatic interaction between W6+ and –OH with the terminal and/or middle hydroxyl groups of glycerol molecules. Consequently, this would activate glycerol to further dissociate into H+ and a glycerol radical, which ultimately transform into GA.
The catalytic performance of facet-tuned anatase nanocrystals with different shapes, i.e. rectangular, rhombic, and nanobar, for hydrogen production via methanol photo-steam reforming has also been studied.265 Ti3+ defect concentration was found to strongly correlate with hydrogen evolution rates. Rectangular nanocrystals with (001), (101), and (010) facets exhibited the highest activity due to the formation of a surface heterojunction that enhances charge separation by directing electrons to (101) and (010) facets and holes to (001) facets. This study highlights the crucial role of facet-dependent electron transfer and photogenerated defects in optimizing anatase nanocrystal photocatalysis. In another study, the effect of the ratio for (001) and (101) facets in anatase TiO2 on its photocatalytic ability was also theoretically calculated using DFT.266 Here, results from density of states (DOS) calculation support the introduction of the “surface heterojunction” concept, which explains the enhanced photocatalytic activity arising from the interaction between co-exposed (001) and (101) facets (Fig. 16a–c). A similar phenomenon was also observed on BiVO4, where the photocatalytic activity was significantly influenced by the exposure of certain crystal facets.267 According to the report, it was revealed that both the band positions, valence band maximum (VBM) and conduction band minimum (CBM), and the bandgap of BiVO4 were found to be highly influenced by the exposure of certain crystal faces (Fig. 16d–f). Here, the exposure of (010), (110), (001), and (121) facets of monoclinic BiVO4 was believed to greatly influence redox and transport properties despite similar electronic structures. As a result, the (001) facet was found to be the most suitable for the HER and OER, while the (010) facet is effective primarily for the OER. These studies highlight how facet tuning, through the interplay of surface energy, adsorption energy, and electronic structure, enables precise modulation of redox reactions, improving the tunability of PEC systems.268 This approach therefore offers new insights into optimizing photoelectrodes for selective PEC biomass valorization.
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Fig. 16 Enhancing catalytic activity through crystal facet tuning. (a) Schematic illustration of charge separation of electrons and holes in TiO2's (001) and (101) facets. (b) Density of states (DOS) of TiO2's (001) and (101) facets. (c) Illustration of the formation of a surface heterojunction. Adapted from ref. 266 with permission. Copyright 2014 American Chemical Society. (d) Relaxed slab structures, (e) DOS diagram, and (f) VBM/CBM positions and bandgap of monoclinic BiVO4 surfaces at various crystal facets. The role of each facet in proton reduction was linked to the surface Bi coordination number and its geometrical distribution. The study reveals that the (001) facet is the most suitable for both the HER and the OER, whereas the (010) facet is effective only for the OER. The (110) and (121) facets were also identified as viable for the OER, though less favorable than (001) and (010). Adapted from ref. 267. Copyright 2020 American Chemical Society. |
Furthermore, crystal facet tuning is also capable of enhancing spatial charge separation in the photoelectrode. For instance for SrTiO3 (STO), a total of 26 crystal facets with unique co-exposure of (100)/(110)/(111) were synthesized using the molten salt method (Fig. 17a).269 Based on the results from in situ photodeposition experiments, it was revealed that the active reaction sites for reduction and oxidation were distributed based on the anisotropic distribution of the (100) facet and (111)/(110) facets, respectively. This is primarily due to the preferential distribution of photogenerated charge carriers, where electrons were found to migrate to (100) facets and holes to (111)/(110) facets. Consequently, such facet-induced internal electric fields significantly improved carrier separation and enhanced the photocatalytic activity of the as-prepared STO for CO2 reduction to CO and methane (Fig. 17b). In one case, enhancement of catalytic efficiency is caused by a phenomenon called isotropic charge transport, which typically occurs when the photogenerated charge carrier moves in all directions on a specific facet.270 For example, a porous CuSe@BiOI heterojunction catalyst with enriched (102) facets was successfully synthesized via in situ electrochemical deposition and demonstrated exceptional PEC activity in CO2 reduction and photodetection performance (Fig. 17c). Here, the as-prepared CuSe@BiOI exhibited a high current density of −57.9 mA cm−2 with over 80% selectivity for FA (Fig. 17d). According to the report, such enhancement in efficiency and selectivity was primarily attributed to the isotropic charge transport phenomenon where photogenerated charges were efficiently separated at the heterojunction interface due to the exposure of (102) crystal facets.
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Fig. 17 Crystal facet tuning-induced spatial charge separation and isotropic charge transport to improve PEC biomass valorization selectivity. (a) Schematic of the molten salt method for the preparation of facet-exposed STO. The formation of facet-exposed STO is driven by the selective adsorption of Cl− ions on the high-energy (111) facets, reducing their surface energy and stabilizing the final structure. During molten salt treatment, STO nanoparticles grow through Ostwald ripening, with high-energy facets shrinking while low-energy facets dominate. Similarly, in the one-step molten salt method, Sr2+ and O2− ions migrate to TiO2 surfaces, forming STO nuclei, with Cl− adsorption guiding the exposure of (111) facets. (b) Product yield of photocatalytic CO2 reduction on 6-, 18-, and 26-facet exposed STO. Adapted from ref. 269 with permission. Copyright 2023 Elsevier B.V. (c) Preparation steps for the (102) facet-exposed CuSe@BiOI heterojunction. (d) PEC CO2 reduction product yield and selectivity of FA on CuSe@BiOI with varying deposition times. Complementing the (102)-dominant CuSe@BiOI, the porous structure of the photoelectrodes allows more CO2 adsorption and activation. Adapted from ref. 270 with permission. Copyright 2024 Elsevier B.V. |
In another approach, crystal facet tuning is also considered to be responsible for influencing the formation of structural features such as crystal defects and OVac.271,272 High-energy facets are often associated with unsaturated atomic coordination, which tends to generate defects such as step edges, dislocations and kinks, creating highly reactive sites. These defects act as catalytic hotspots by stabilizing key intermediates and promoting selective reaction pathways. Simultaneously, OVac are more prevalent on high-energy facets due to their inherent instability and tendency to lose lattice oxygen. These vacancies introduce localized electronic states within the bandgap, improving light absorption and facilitating charge carrier separation. In addition, OVac could also provide electron-rich centers that could improve adsorption and activation of oxygen-containing functional groups in biomass molecules. For example, a study demonstrates the role of facet tuning and OVac in optimizing electron transfer and ozone activation by synthesizing CeO2 with predominantly exposure of (110), (100), or (111) facets.273 In this study, it was found that CeO2 with dominant exposure of the (110) facet exhibited the highest efficiency for phenol mineralization due to its superior charge carrier separation and enhanced electron transfer for O3 activation. Interestingly, ex situ, quasi-situ, and in situ characterization revealed that facet modulation influences the electronic properties of CeO2 due to the increased number of OVac density, which is responsible for accelerating O3 activation and facilitating the formation of reactive oxygen species.
To summarize, crystal facet tuning plays a pivotal role in tailoring the catalytic performance of materials in PEC biomass and CO2 conversion by modulating the exposure of specific crystallographic planes. High-energy facets, characterized by unsaturated atomic sites, enhance reactant adsorption, lower activation barriers, and promote selective reaction pathways, while low-energy facets facilitate product desorption and improve selectivity. Moreover, crystal facet tuning significantly influences the electronic and optical properties of photocatalysts by optimizing charge carrier separation, modifying band structures, and amplifying localized electric fields, leading to enhanced PEC performance. Various studies have demonstrated how facet-dependent electronic structures, spatial charge separation, and defect formation contribute to improved reaction efficiencies. Additionally, the interplay between facet exposure and structural defects, such as OVac, introduces reactive sites that further boost catalytic activity and selectivity. However, despite these advantages, several challenges limit the widespread application of facet tuning. Precisely controlling the synthesis of facet-exposed structures often requires complex, time-consuming, and condition-sensitive fabrication methods.274,275 These processes may have low scalability and reproducibility, hindering large-scale implementation. Furthermore, the interplay between multiple facets and their synergistic or antagonistic effects on complex biomass-derived intermediates remains difficult to predict and model, requiring advanced characterization and theoretical tools.276 All in all, while crystal facet tuning offers highly selective PEC systems, addressing its synthetic complexity and mechanistic uncertainties will be crucial for its practical deployment in biomass and CO2 valorization technologies. The utilization of crystal facet tuning for selective PEC biomass and CO2 valorization is summarized in Table 7.
Photoelectrode | Facet tuning function | Tuning method | Reaction | Target product(s) | Selectivity | FE | Reaction conditions | Ref. |
---|---|---|---|---|---|---|---|---|
(010)-Dominant BiVO4 | Promotes glycerol adsorption, charge transport promoter, facilitating high carrier density | Solvent-assisted hydrothermal method | Glycerol oxidation | DHA | 60% | N/A | • Electrolyte: Na2B4O7 (0.1 M) with glycerol (0.1 M) | 259 |
• Applied bias: 1.1 VRHE | ||||||||
• Light: AM 1.5G (100 mW cm−2) | ||||||||
(002)-WO3 | Lowering the energy barrier for oxidation, charge transport promoter | Solvothermal method | Glycerol oxidation | GA | 73% | N/A | • Electrolyte: H2SO4 (0.5 M) with glycerol | 260 |
• Applied bias: 0.9 VRHE | ||||||||
• Light: AM 1.5G (100 mW cm−2) | ||||||||
(102)-CuSe@BiOI | Charge separation promoter | Electrodeposition method | CO2 reduction | FA | 80% | N/A | • Electrolyte: CO2-saturated KHCO3 (0.5 M) | 270 |
• Applied bias: 1.2 VRHE | ||||||||
• Light: AM 1.5G (150 mW cm−2) |
Introduction of vacancies and defects has also been used as a strategy to enhance PEC biomass valorization selectivity and reactivity through charge transport improvement. For instance, OVac on the CoOx/BiVO4 heterojunction of the Au/CoOx/BiVO4 photoelectrode can be utilized to enhance PEC glycerol valorization to high-valued DHA (Fig. 18a).284 This method enhances the glycerol-to-DHA selectivity from the initial 37.9% of pristine BiVO4 to 53.2% (Fig. 18b). The increased selectivity stems from the OVac, which decreases the depletion layer width of the photoelectrode, from the initial 11.95 nm to 6.28 nm for CoOx/BiVO4 (Fig. 18c), indicating sharper band bending at the photoelectrode/electrolyte interface, which accelerates hole drift from the depletion region to the surface and suppresses charge recombination. Similarly, OVac are utilized in the ultrathin B-activated NiCoOx/BiVO4 photoelectrode (Fig. 18d).285 This treatment deposits a 2 nm thick B:NiCoOx layer on BiVO4, providing abundant OVac. The ultrathin-high OVac B:NiCoOx layer creates active sites for H2O to form hydroxyl groups, which are then used to oxidize glycerol to FA. Furthermore, the OVac facilitates hole extraction or storage and accelerates highly oxidizing hole transport. With this approach, the system achieves a selectivity of 48.7% for 1.5 hours (Fig. 18e).
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Fig. 18 Improving charge transport through surficial defects for PEC biomass valorization selectivity enhancement. (a) Fabrication steps for the Au/CoOx/BiVO4 photoelectrode. A solution of Co(NO3)2·6H2O is mixed with ammonia solution and H2O2 and then stirred to oxidize Co2+ to Co3+. The mixture is subsequently drop-cast onto BiVO4 to form CoOx/BiVO4. (b) Increased selectivity towards DHA from PEC glycerol oxidation on Au/CoOx/BiVO4. (c) Depletion layer width comparison of Au/CoOx/BiVO4 compared to other photoelectrodes. Adapted from ref. 284 with permission. Copyright 2024 Wiley-VCH GmbH. (d) Preparation steps for the B:NiCoOx/BiVO4 photoelectrode. Pristine BiVO4 is immersed in a solution containing 50 mL NiCl2·6H2O (10 mM), 50 mL CoCl2·6H2O (10 mM), and NaBH4 for one hour. (e) Product selectivity of glycerol oxidation on the B:NiCoOx/BiVO4 photoelectrode. Adapted from ref. 285 with permission. Copyright 2024 Elsevier B.V. (f) Band alignment of the p-Si/ZnOv/CuxO photoelectrode and electron flow schematics. (g) FE of the PEC CO2 reduction reaction on p-Si/ZnOv/CuxO. Adapted from ref. 286 with permission. Copyright 2022 Wiley-VCH GmbH. |
Additionally, the strategy of improving charge transport through defect engineering has also been pursued to obtain high-value products of PEC CO2 reduction with high efficiency. Considering the high value and energy density of multi-carbon products, the efficient production of ethanol and acetic acid is very attractive.287 However, to shift CO2 reduction selectivity towards multi-carbon products, the system needs to promote multi-electron transfer, which requires very efficient excitation and separation of multiple electrons. Thus, one example utilizes ZnO with OVac (ZnOv) and defective Cu2O (CuxO) with p-Si to form a p–n–p band alignment (Fig. 18f).286 This alignment enables confining and accumulating multiple electrons in the conduction band of n-type ZnOv under a built-in electric field, while its shallow energy level allows the electron to escape the well and into CuxO. These tunneling defect energy levels on CuxO are close to matching the energy levels of CO2-to-ethanol reduction. Therefore, the selectivity towards ethanol is improved (Fig. 18g). Notably, the architecture allows the system to reduce CO2 to ethanol at 0 VRHE.
Aside from improving charge transfer to enhance the selectivity of PEC biomass valorization reactions, defects could serve as or form active sites for the adsorption of intermediates, which will contribute to the selectivity tuning of PEC biomass valorization.47 For instance, OVac on the surface of BiVO4 play a vital role in selectively adsorbing and activating secondary hydroxyl groups of glycerol molecules.288 BiVO4 was deposited through spin-coating on a SnO2 nanosheet array and further annealed in an Ar atmosphere to induce a higher concentration of OVac (Fig. 19a). The presence of OVac lowers the adsorption energy for secondary hydroxyls (Fig. 19b), thereby shifting the reaction selectivity towards DHA (Fig. 19c). However, the maximum DHA selectivity achieved is only up to 26.5%, with FA as one of the main products aside from DHA. The high FA production occurs due to the glycerol oxidation mechanism on the photoelectrode. The symmetrical molecules possess two primary hydroxyl groups, which when attacked by adsorbed *OH will oxidize to glyceraldehyde. Glyceraldehyde is prone to further oxidation to glyceric and glycolic acid, which through C–C cleavage can be converted into FA, thereby allowing substantial FA production.
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Fig. 19 Surficial defects for selectivity tuning in PEC glycerol oxidation. (a) Synthesis steps for SnO2/OVac-enriched BiVO4. (b) Calculated adsorption energy of secondary hydroxyl of glycerol on pristine and OVac-enriched BiVO4. (c) Production rate of glycerol oxidation on SnO2/OVac-enriched BiVO4 compared to SnO2/BiVO4 (SnO2/BiVO4-air). Adapted from ref. 288 with permission. Copyright 2025 The Royal Society of Chemistry. (d) PEC glycerol oxidation product selectivity on the Bi-rich BiVO4−x photoelectrode compared to pristine BiVO4 and Bi-rich BiVO4. (e) Band alignments of the Bi-rich BiVO4−x photoelectrode compared to other photoelectrodes. Adapted from ref. 289. Copyright 2024 The Author(s). (f) FE of glycerol oxidation products on WO3 with OVac (purple) compared with WO3 with fewer OVac (green) and pristine WO3 (orange). Adapted from ref. 290. Copyright 2024 The Author(s). |
Alternatively, a higher glycerol-to-DHA selectivity has been achieved by transforming a pristine monoclinic BiVO4 surface into a Bi-rich BiVO4−x surface.289 Bi atoms have been shown to exhibit heightened adsorption capacity for the secondary hydroxyl group of glycerol, which is responsible for selective oxidation to DHA.291 Therefore, forming a Bi-rich surface layer will promote the glycerol oxidation pathway towards DHA. The method involves alkaline etching in NaOH to leach surface V atoms, followed by electrochemical etching in potassium borate (KBi) electrolyte to induce OVac, providing more surface Bi atom active sites for glycerol adsorption. As shown in Fig. 19d, this approach improves selectivity towards DHA from 54% to 80.3%. Moreover, the improved selectivity also stems from the shifted band alignments toward the vacuum level (Fig. 19e), which is favorable for efficient electron–hole separation. Another example of leveraging surficial defects to tune PEC biomass valorization selectivity involves modulating OVac on the surface of a WO3 photoelectrode (WO3−x) through exposure to 15 mM NaBH4, generating exclusive surface defects.290 These vacancies increase the availability of W5+ active sites for glycerol adsorption. Using this method, the photoelectrode achieves 86.1% selectivity for glyceraldehyde with a production rate of 378.8 mmol m−2 h−1 (Fig. 19f). However, different from the previously mentioned interaction of the OVac with the glycerol molecules, the surface of WO3−x has a lower adsorption and activation energy for the terminal hydroxyl group of the glycerol, which results in the favorable oxidation of glycerol to glyceraldehyde.
In another example, surface S vacancies on CdS/Cu2ZnSnS4 (CZTS) photoelectrodes can be modulated through heat treatment in varying ambient gases, demonstrating versatility in tuning PEC CO2 reduction selectivity (Fig. 20a).292 Heat treatment in air leads to a photoelectrode selective for methanol and ethanol, achieving yield rates of up to 3 μmol cm−2 h−1 and 2 μmol cm−2 h−1, respectively (Fig. 20b(i)). Conversely, heat treatment in N2 increased its selectivity for CO production up to 2.31 μmol cm−2 h−1 (Fig. 20b(ii)). This unique tunability arises from the S vacancies of the photoelectrode. The chemical bath deposition of the CdS layer on CZST induced S vacancies on the surface CdS layer. When treated in air, these vacancies are filled with O atoms, decreasing the S vacancies. This results in lower CO2 and CO adsorption energy. In contrast, when treated with N2, the CdS layer preserves the S vacancies. These vacancies facilitated CO desorption, therefore increasing its selectivity towards CO. Furthermore, OVac on the CdS/CZST photoelectrode can be modulated for NOx reduction reaction selectivity tuning through the deposition of a temperature-sensitive TiOx layer on CdS/CZST (Fig. 20c).293 In the deposition process, decomposition of acetylacetone is temperature sensitive and leads to the formation of Ti3+, which is closely related to the adsorption of NO3− and *NO2−. The formation of Ti3+ on the surface accompanies the generation of OVac on TiOx. Therefore, the O defects can be modulated and indirectly tune the selectivity of the photoelectrode. When modified with TiOx deposited at 250 °C, the photoelectrode achieved 89.1% FE towards ammonia (Fig. 20d). One of the underlying factors for the improved selectivity is the increase of catalytically active sites. The increase in surface coverage of Ti3+ proved to result in selectivity towards ammonia. Additionally, the AcAc ligand from TIAA is electrophilic, which promotes adsorption of NO3− and NO2−, thereby facilitating ammonia production. In contrast, if the TiOx layer on the photoelectrode is dominated by Ti4+ only, which is ordinary TiO2, it promotes NO2− desorption before further oxidation, demonstrated by 60% faradaic efficiency at 0.0 VRHE with no byproduct, resulting in 100% selectivity towards NO2−. It is worth highlighting that this method of surface engineering demonstrates a faradaic efficiency of 64.9% for ammonia upon testing with nitrate-rich wastewater, making it a potential candidate for nitrate-contaminated wastewater treatment.
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Fig. 20 Surface defects in other PEC biomass valorization applications. (a) Preparation steps of the CZTS/CdS photoelectrode. (b) PEC CO2 reduction performance of CZTS/CdS photoelectrodes represented as yield for (i) CO and (ii) methanol and ethanol. Adapted from ref. 292 with permission. Copyright 2021 Wiley-VCH GmbH. (c) Fabrication steps of TiOx/CdS/CZTS. The TiOx layer is deposited through spray-coating titanium diisopropoxide bis(acetylacetonate) (TIAA) on CdS/CZST. (d) PEC NOx reduction performance of TiOx/CdS/CZTS represented as the yield and FE of ammonia as a function of applied bias. Adapted from ref. 293. Copyright 2022 The Author(s). (e) Fabrication process of OVac-enriched WO3 (WO3-OV). (f) PEC procaine conversion to chloroprocaine performance of WO3-OV photoelectrodes represented as production rate, FE, and selectivity at varying annealing temperatures. Adapted from ref. 294 with permission. Copyright 2024 American Institute of Chemical Engineers. |
Adding to the versatility of vacancy and defect utilization in PEC biomass valorization, OVac-enriched WO3 can be utilized to improve the conversion of procaine to sustainably produce chloroprocaine, a valuable chemical for medical applications.294 The vacancies are induced through annealing in a H2/Ar atmosphere (Fig. 20e). Through this approach, the system is capable of converting procaine to chloroprocaine with a selectivity of up to 92% (Fig. 20f). This improved selectivity stems from the Cl− ions that are preferably adsorbed onto the vacancy-enriched WO3, forming Cl− enriched WO3 and facilitating the ions to participate in the production of chloroprocaine. Complementing the catalytic activity, the OVac also increases the light absorption and charge transport ability, which also contributes to increased selectivity. All in all, these examples demonstrate the crucial role that surficial vacancies and defects play in enhancing and tuning PEC biomass and CO2 valorization selectivity. By improving charge transfer and light absorption, as well as acting as and forming active sites for adsorption of reactants, surface vacancies and defects can selectively promote a specific reaction pathway, enhancing the selectivity. Despite these advantages, defect engineering also presents several limitations and challenges. Excessive or uncontrolled formation of defects, particularly in the bulk phase, can introduce trap states that hinder charge transport, reduce material stability, and cause undesirable side reactions.295 Moreover, the stability of defect-rich surfaces under prolonged PEC operation or in harsh reaction environments remains a concern, as vacancies may heal or evolve over time, leading to performance degradation.296 The synthesis of defect-engineered materials is also often sensitive to processing conditions, which complicates reproducibility and scalability.297 The utilization of surface vacancies and defects for PEC biomass and CO2 valorization selectivity control and enhancement is summarized in Table 8.
Photoelectrode | Defect function | Induction method | Reaction | Target product(s) | Selectivity | FE | Reaction conditions | Ref. |
---|---|---|---|---|---|---|---|---|
Au/CoOx/BiVO4 | Improving charge transfer by decreasing the depletion layer width | Ammonia and H2O2-assisted Co2+ oxidation, drop-casting | Glycerol oxidation | DHA | 53.2% | N/A | • Electrolyte: H2SO4 (pH 2) with glycerol (0.5 M) | 284 |
• Applied bias: 1.2 VRHE | ||||||||
• Light: AM 1.5G (100 mW cm−2) | ||||||||
B:NiCoOx/BiVO4 | Facilitate hole extraction, storage, transfer, serving as active oxidation sites | Immersion in NaBH4-mixed solution | Glycerol oxidation | FA | 48.7% | N/A | • Electrolyte: Na2SO4 (0.5 M) with glycerol (0.1 M) | 285 |
• Applied bias: 1.23 VRHE | ||||||||
• Light: AM 1.5G (100 mW cm−2) | ||||||||
p-Si/n-ZnOVac/p-CuxO | Facilitating defect-assisted electron tunneling | Annealing in air and ion exchange in CuCl2 | CO2 reduction | Ethanol | N/A | 60% | • Electrolyte: CO2-dissolved KHCO3 (0.1 M) | 286 |
• Applied bias: −1.8 VRHE to 0 VRHE | ||||||||
• Light: AM 1.5G (100 mW cm−2) | ||||||||
SnO2/BVO-x | Secondary hydroxyl group adsorption sites | Annealing in an Ar atmosphere | Glycerol oxidation | DHA | 26.5% | N/A | • Electrolyte: Na2SO4 (0.01 M) with glycerol (0.1 M) | 288 |
• Applied bias: 1.4 VRHE | ||||||||
• Light: 300 W Xe lamp (100 mW cm−2) | ||||||||
Bi-rich BiVO4−x/BiVO4 | Forming a Bi-rich surface with active sites for secondary hydroxyl adsorption | Chemical etching and electrochemical reduction | Glycerol oxidation | DHA | 80.3% | N/A | • Electrolyte: Na2SO4 (0.01 M, pH adjusted to 2 with H2SO4) with glycerol (0.1 M) | 289 |
• Applied bias: 1.23 VRHE | ||||||||
• Light: AM 1.5G (100 mW cm−2) | ||||||||
WO3−x | Adsorption and activation sites for terminal hydroxyl | Annealed in an Ar/O2 atmosphere and immersed in NaBH4 | Glycerol oxidation | GLAD | 86.1% | N/A | • Electrolyte: glycerol (2 M, pH 2) | 290 |
• Applied bias: 1.2 VRHE | ||||||||
• Light: AM 1.5G (100 mW cm−2) | ||||||||
CZTS/CdS | Adsorption energy modulation | Chemical bath, heat treatment in air and N2 atmospheres | CO2 reduction | CO, ethanol and methanol | 2.31 (CO), 3 (ethanol) and 2 μmol cm−2 h−1 (methanol) production yield | N/A | • Electrolyte: CO2-saturated KHCO3 (0.1 M) | 292 |
• Applied bias: −0.6 VRHE (CO) and −0.4 VRHE (ethanol and methanol) | ||||||||
• Light: AM 1.5G (100 mW cm−2) | ||||||||
239 WO3-OVac | Cl− ion adsorption and Cl2 production sites | Annealed in an H2/Ar atmosphere | Procaine conversion | Chloroprocaine | N/A | 92% | • Electrolyte: K2SO4 (0.5 M) or KCl | 294 |
• Applied bias: 1.0 VRHE | ||||||||
• Light: AM 1.5G (100 mW cm−2) | ||||||||
Sn/TiO2/Si | CO2 molecule activation sites | Deposition of Sn | CO2 reduction | Formate | N/A | 69% | • Electrolyte: CO2-saturated KHCO3 | 298 |
• Applied bias: −1.0 VRHE | ||||||||
• Light: AM 1.5G (100 mW cm−2) |
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Fig. 21 Nanostructuring effects on the optical properties of materials. (a) Extinction properties of Au nanoparticles with different shapes: sphere (Sph), rhombic dodecahedron (RhD), cube (Cub), octahedron (Oct), and pentagonal bipyramid (PBp). Distribution of near field electric enhancement in the x–y plane at different equivalent radii (Req) of (b) Sph, (c) RhD, (d) Cub, (e) Oct, and (f) PBp Au nanoparticles. Optimizing nanoparticle shapes to achieve both the broadest light absorption and the highest, most widespread field enhancement is essential for enhancing the PEC performance of nanostructures. Adapted from ref. 310 with permission. Copyright 2019 American Chemical Society. |
Aside from leveraging the optical property tunability to improve PEC biomass valorization, nanostructuring also facilitates enhanced catalytic reactions by modifying surface interactions. For instance, nanostructuring Ag into Ag nanocubes with exposed (100) planes effectively suppresses H2 production by preferentially adsorbing CO2, thereby improving CO2 reduction selectivity towards CO (Fig. 22a).316 This demonstrates how tuning the nanoparticle shape and facet exposure can significantly impact selectivity in PEC processes. Moreover, the surface-to-volume ratio and active site density can be modulated by designing catalysts with unique nanoscale architectures such as nanorods, nanowires, or nanoporous structures.317–320 This approach creates microenvironments that enhance adsorption and activation of specific intermediates, steering reactions toward desired products. For example, TiO2 nanostructuring into nanotubes, nanosponges, and nanobelts (Fig. 22b(i–iii)) has been shown to improve conversion efficiency and selectivity in PEC glycerol oxidation, yielding value-added products such as glyceraldehyde (GLAD), dihydroxyacetone (DHA), and formic acid (FA).321
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Fig. 22 Nanostructuring for PEC biomass valorization selectivity tuning. (a) PEC CO2 reduction performance of nanostructured Ag nanocubes. Adapted from ref. 316 with permission. Copyright 2020 American Chemical Society. (b) Nanostructured TiO2 in the form of (i) nanotubes, (ii) nanosponges, and (iii) nanobelts for PEC glycerol oxidation. Adapted from ref. 321 with permission. Copyright 2022 Elsevier Ltd. (c) Architecture of inner diameter-modulated TiO2 nanotubes (TNTs) and illustration of the microscale fluid effect. (d) PEC glycerol oxidation product selectivity and conversion rate for inner diameter-modulated TNT photoelectrodes. Adapted from ref. 322 with permission. Copyright 2024 American Chemical Society. (e) Preparation steps for nanostructured S–Bi nanosheets on Si NWs. (f) PEC CO2 reduction product FE on the S–Bi nanosheet-deposited Si NW photoelectrode. Adapted from ref. 323. Copyright 2024 The Author(s). |
Furthermore, the geometric and spatial arrangement of nanoscale features could also impose steric constraints that favor certain reaction pathways while suppressing competing reactions. Consequently, this could also further contribute to the alteration of selectivity. Notably, for TiO2 nanotubes, it has been demonstrated that further nanostructuring, in the form of varying inner diameters, has a significant effect on the reaction kinetics, particularly for PEC glycerol oxidation.322 The microenvironment of nanotubes allows for the diffusion of molecules (Fig. 22c). In the case of decreasing the inner diameter of the nanotubes, the strength of the microenvironment, in the form of microscale fluid effect, is increased. Thus, the diffusion of the oxidation products is heightened, allowing the reaction to produce multi-carbon products. However, when the inner diameter is increased, this effect is weakened and the oxidation product desorption from the system is sluggish, allowing further oxidation. This unique nanostructuring-enabled reaction mechanism allows for selectivity tuning of the system to single-carbon products, FA, or multi-carbon products, GLAD (Fig. 22d).
We also note that nanostructuring could also facilitate efficient charge carrier separation and transport. This is primarily due to the reduction in the distance of photogenerated carriers and reaction sites, which are responsible for suppressing charge recombination.236,324 For instance, nanostructuring Bi2S3 to Bi nanoplates can help mitigate surface charge recombination of Si nanowires (NWs) (Fig. 22e).323 In multi-electron reactions, such as CO2 reduction, enlarging the junction area of semiconductors such as nanowires is expected to boost the photocurrent by reducing the travel distance of the minority carriers. However, excessive area augmentation can increase surface recombination, lowering open-circuit potential and reducing catalytic activity. In this approach, the S–Bi nanosheet rapidly extracts photogenerated electrons from the Si NWs and facilitates CO2 reduction on its surface. Therefore, with the enhanced charge transport, the photoelectrodes allow for improved selectivity towards formate (Fig. 22f).
In summary, nanostructuring is a powerful tool for improving and tuning PEC biomass and CO2 valorization selectivity through optical property modulation, electronic structure tailoring, and modifying interactions with reactants. By carefully nanostructuring photoelectrodes, researchers can manipulate optical, electronic, and catalytic properties to achieve higher efficiency and selectivity in PEC reactions. This approach not only enables precise control over reaction pathways but also paves the way for developing advanced photoelectrodes tailored for PEC biomass and CO2 valorization. Despite its significant advantages, nanostructuring also presents several challenges that must be carefully managed. Complex nanostructures often require intricate synthetic procedures, which can limit scalability, reproducibility, and cost-effectiveness.325 Stability is another key concern, as nanostructured materials with high surface energy or delicate morphologies may degrade or restructure under operational PEC conditions, diminishing long-term performance.326 Additionally, the interplay between morphology and selectivity is highly system-specific, and the mechanistic understanding of how nanostructure-induced microenvironments alter reaction kinetics remains incomplete.327 Therefore, achieving reproducible, durable, and mechanistically sound nanostructure designs requires careful balancing of structural complexity, material stability, and application-specific requirements. The utilization of nanostructuring for PEC biomass and CO2 valorization selectivity enhancement and tuning is summarized in Table 9.
Photoelectrodea | Role of nanostructuring | Method | Reaction | Target product(s) | Selectivity | FE | Reaction conditions | Ref. |
---|---|---|---|---|---|---|---|---|
a NC: nanocube, MCA: membrane cathode, NB: nanobelt, NS: nanosponge, NT: nanotube, NW: nanowire, and TNT: TiO2 nanotube. | ||||||||
Ag NCs/MCA | Increase CO2 adsorption by exposing the (100) plane | Sulfide-mediated polyol method | CO2 reduction | CO | N/A | 80% | • Electrolyte: CO2-saturated KHCO3 (0.5 M) | 316 |
• Applied bias: 1.6 V | ||||||||
• Light: AM 1.5G (100 mW cm−2) | ||||||||
NT-TiO2 | Increasing active surface area | Anodic oxidation in a solution containing 2% volume of water and 98% volume of ethylene glycol and calcination | Glycerol oxidation | GLAD, DHA, and FA | 31% (GLAD), 13% (DHA), and 5.7% (FA) | N/A | • Electrolyte: Na2SO4 (5 mM) with glycerol (10 mM) | 321 |
• Applied bias: 0.5 VRHE | ||||||||
• Light: 8 W UVA fluorescent lamp | ||||||||
NS-TiO2 | Increasing active surface area | Anodic oxidation in a solution containing 40% water and 60% glycerol and calcination | Glycerol oxidation | GLAD, DHA, and FA | 32% (GLAD), 12% (DHA), and 6.7% (FA) | N/A | • Electrolyte: Na2SO4 (5 mM) with glycerol (10 mM) | 321 |
• Applied bias: 0.5 VRHE | ||||||||
• Light: 8 W UVA fluorescent lamp | ||||||||
NB-TiO2 | Increasing active surface area | Anodic oxidation in a solution containing 5% water and 95% glycerol and calcination | Glycerol oxidation | GLAD, DHA, and FA | 31% (GLAD), 13% (DHA), and 7.0% (FA) | N/A | • Electrolyte: Na2SO4 (5 mM) with glycerol (10 mM) | 321 |
• Applied bias: 0.5 VRHE | ||||||||
• Light: 8 W UVA fluorescent lamp | ||||||||
TNT-50 | Modulating product diffusion through induced microscale fluid environments | Titanium foil anodization | Glycerol oxidation | GLAD | 60.7% | N/A | • Electrolyte: Na2SO4 (0.5 M) with glycerol (0.1 M) | 322 |
• Applied bias: 1.23 VRHE | ||||||||
• Light: AM 1.5G (100 mW cm−2) | ||||||||
TNT-100 | Modulating product diffusion through induced microscale fluid environments | Titanium foil anodization | Glycerol oxidation | FA | 60% | N/A | • Electrolyte: Na2SO4 (0.5 M) with glycerol (0.1 M) | 322 |
• Applied bias: 1.23 VRHE | ||||||||
• Light: AM 1.5G (100 mW cm−2) | ||||||||
S–Bi/Si NWs | Improving charge transport from Si NWs | PEC reduction | CO2 reduction | Formate | N/A | 93% | • Electrolyte: CO2-saturated KHCO3 (0.1 M) | 323 |
• Applied bias: −0.8 VRHE | ||||||||
• Light: AM 1.5G (100 mW cm−2) | ||||||||
WO3/TiO2 | Improves charge separation efficiency, extends light absorption, and provides adsorption and desorption sites | Hydrothermal | Glycerol oxidation | GLAD and DHA | 61% (GLAD) and 92% (GLAD and DHA) | N/A | • Electrolyte: Na2SO4 (0.1 M) with glycerol (0.05 M) | 328 |
• Applied bias: 1.23 VRHE | ||||||||
• Light: AM 1.5G (100 mW cm−2) | ||||||||
Au NW | Promoting adsorption of middle hydroxyl groups of glycerol | Electrodeposition | Glycerol oxidation | Lactic acid | 80% | N/A | • Electrolyte: KOH (3 M) with glycerol | 329 |
• Applied bias: 0.95 VRHE | ||||||||
• Light: AM 1.5G (300 mW cm−2) |
Despite these advancements, several critical challenges must be addressed to fully realize the potential of surface engineering for scalable PEC biomass and CO2 valorization. One aspect is combining multiple surface engineering techniques, which could further open opportunities to amplify beneficial effects and achieve finer selectivity control.330 Furthermore, modified surfaces, in particular with molecular co-catalysts, often suffer from degradation under prolonged PEC operation. Additionally, nanostructured materials may degrade or restructure under operational PEC conditions. Addressing these stability issues will require the development of protective coatings, self-healing materials, or dynamically adaptive interfaces.331–333 Moreover, translating laboratory-scale strategies to large-scale practical systems demands scalable, cost-effective synthesis methods that maintain precise control over morphology, composition, and surface features.334,335 Simplifying complex fabrication processes without compromising performance is a key step toward commercial deployment, in particular for sophisticated surface engineering strategies such as single-atom metal. Additionally, deeper mechanistic insight into how surface modifications influence reaction intermediates, charge carrier dynamics, and microenvironmental conditions is essential. Advances in operando characterization and theoretical modeling will be instrumental in guiding rational design. Finally, to enable broader applicability, it is also essential to develop generalized surface engineering strategies that can be effectively applied to both oxidation and reduction half-reactions. Many current modifications are highly reaction-specific, and a more universal approach would facilitate the design of integrated PEC systems for complete biomass conversion or coupled CO2 reduction and biomass oxidation. All in all, by addressing current challenges, surface-engineered PEC systems can be further advanced into a more versatile and efficient platform for selective biomass and CO2 valorization.
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